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环签名和IBE策略的新型电力系统匿名身份认证方案 认领 引用
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作者 陈剑飞 王睿 +2 位作者 张方哲 黄华 徐光侠 《重庆邮电大学学报（自然科学版）》 CSCD 北大核心 2026年第1期93-99,共7页
针对现代电力系统中分布式终端数量激增、身份暴露风险高以及传统PKI密钥管理复杂等问题,提出一种融合身份加密(identity-based encryption,IBE)、环签名与零信任策略的新型分布式终端匿名身份认证方案。方案由私钥生成中心按设备身份生... 针对现代电力系统中分布式终端数量激增、身份暴露风险高以及传统PKI密钥管理复杂等问题,提出一种融合身份加密(identity-based encryption,IBE)、环签名与零信任策略的新型分布式终端匿名身份认证方案。方案由私钥生成中心按设备身份生成IBE密钥对并通过安全信道分发,简化大规模终端场景下的密钥管理;结合虚拟标识符与环签名,实现终端在环成员集合中的匿名认证;引入零信任访问控制和日志驱动的行为监测、动态权限调整及门限身份披露机制,从认证流程与访问控制两方面增强系统防护能力。形式化安全分析与性能评估结果表明,方案在保证身份匿名性、数据完整性和密钥传输安全的同时,具有较低的计算与通信开销,适用于现代电力系统分布式终端的安全接入与隐私保护需求。 展开更多
关键词 电力系统 分布式终端 基于身份的加密(IBE) 环签名 零信任策略 身份认证 匿名性
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A visually meaningful medical image encryption scheme based on image steganography and memristive Hopfield neural networks 认领 引用
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作者 Wei Yao Xiangyun Huang +2 位作者 Jianhua Xiao Fei Yu Yichuang Sun 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期368-383,共16页
With the advancement of telemedicine technology,the security of digital medical images has become increasingly important.To address this issue,this paper proposes a visually meaningful color medical image encryption a... With the advancement of telemedicine technology,the security of digital medical images has become increasingly important.To address this issue,this paper proposes a visually meaningful color medical image encryption algorithm.First,a high-dimensional chaotic sequence is generated using a memristive Hopfield neural network.Subsequently,multichannel pixel permutation is performed based on a chaos-driven pseudo-random strategy,followed by the implementation of a double-layer diffusion mechanism integrating cellular automata and dynamic deoxyribonucleic acid(DNA)coding.Finally,a chaos-driven cross-channel least significant bit(LSB)embedding approach is adopted.Simulation experiments and security analyses demonstrate that the proposed algorithm achieves excellent encryption performance,a large key space,and strong robustness against noise and data-loss attacks,thereby effectively ensuring the secure transmission of digital medical images. 展开更多
关键词 Hopfield neural network memristor chaotic sequence image encryption algorithm
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Framework for Secure Substitution Box Construction and Its Application in Image Encryption 认领 引用
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作者 Umar Hayat Ikram Ullah Muhammad Bilal 《Computers, Materials & Continua》 SCIE EI 2026年第4期1428-1462,共35页
Elliptic curve(EC)based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems.A substitution box(S-box)plays a vital role in securing modern symmetric key cryptosystem... Elliptic curve(EC)based cryptosystems gained more attention due to enhanced security than the existing public key cryptosystems.A substitution box(S-box)plays a vital role in securing modern symmetric key cryptosystems.However,the recently developed EC based algorithms usually trade off between computational efficiency and security,necessitating the design of a new algorithm with the desired cryptographic strength.To address these shortcomings,this paper proposes a new scheme based onMordell elliptic curve(MEC)over the complex field for generating distinct,dynamic,and highly uncorrelated S-boxes.Furthermore,we count the exact number of the obtained S-boxes,and demonstrate that the permuted version of the presented S-box is statistically optimal.The nonsingularity of the presented algorithm and the injectivity of the resultant output are explored.Rigorous theoretical analysis and experimental results demonstrate that the proposedmethod is highly effective in generating a large number of dynamic S-boxes with adequate cryptographic properties,surpassing current state-of-the-art S-box generation algorithms in terms of security.Apart fromthis,the generated S-box is benchmarked using side-channel attacks,and its performance is compared with highly nonlinear S-boxes,demonstrating comparable results.In addition,we present an application of our proposed S-box generator by incorporating it into an image encryption technique.The encrypted and decrypted images are tested by employing extensive standard security metrics,including the Number of Pixel Change Rate,the Unified Average Changing Intensity,information entropy,correlation coefficient,and histogram analysis.Moreover,the analysis is extended beyond conventional metrics to validate the new method using advanced tests,such as the NIST statistical test suite,robustness analysis,and noise and cropping attacks.Experimental outcomes show that the presented algorithm strengthens the existing encryption scheme against various well-known cryptographic attacks. 展开更多
关键词 Substitution box Mordell elliptic curve Mobius transformation nonlinearity image encryption cryptanalysis data security
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A New Image Encryption Algorithm Based on Cantor Diagonal Matrix and Chaotic Fractal Matrix 认领 引用
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作者 Hongyu Zhao Shengsheng Wang 《Computers, Materials & Continua》 SCIE EI 2026年第1期636-660,共25页
Driven by advancements in mobile internet technology,images have become a crucial data medium.Ensuring the security of image information during transmission has thus emerged as an urgent challenge.This study proposes ... Driven by advancements in mobile internet technology,images have become a crucial data medium.Ensuring the security of image information during transmission has thus emerged as an urgent challenge.This study proposes a novel image encryption algorithm specifically designed for grayscale image security.This research introduces a new Cantor diagonal matrix permutation method.The proposed permutation method uses row and column index sequences to control the Cantor diagonal matrix,where the row and column index sequences are generated by a spatiotemporal chaotic system named coupled map lattice(CML).The high initial value sensitivity of the CML system makes the permutation method highly sensitive and secure.Additionally,leveraging fractal theory,this study introduces a chaotic fractal matrix and applies this matrix in the diffusion process.This chaotic fractal matrix exhibits selfsimilarity and irregularity.Using the Cantor diagonal matrix and chaotic fractal matrix,this paper introduces a fast image encryption algorithm involving two diffusion steps and one permutation step.Moreover,the algorithm achieves robust security with only a single encryption round,ensuring high operational efficiency.Experimental results show that the proposed algorithm features an expansive key space,robust security,high sensitivity,high efficiency,and superior statistical properties for the ciphered images.Thus,the proposed algorithm not only provides a practical solution for secure image transmission but also bridges fractal theory with image encryption techniques,thereby opening new research avenues in chaotic cryptography and advancing the development of information security technology. 展开更多
关键词 Image encryption spatiotemporal chaotic system chaotic fractal matrix cantor diagonal matrix
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Ultrahigh Electromagnetic Interference Shielding and Integrated Thermal Sensing-encryption Enabled by a Honeycomb-inspired Multifunctional Foam 认领 引用 被引量：1
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作者 Shao-Peng Yu Ya Liu +4 位作者 Ming-Yu Hao Xin Zhang Xu Zhang Yi-Cheng Yuan Zhen-Xiu Zhang 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2026年第2期513-524,I0016,共12页
With the rapid development of intelligent electronic and military equipment,multifunctional flexible materials that integrat electromagnetic interference(EMI)shielding,temperature sensing,and information encryption ar... With the rapid development of intelligent electronic and military equipment,multifunctional flexible materials that integrat electromagnetic interference(EMI)shielding,temperature sensing,and information encryption are urgently required.This study presents a bio-inspired hierarchical composite foam fabricated using supercritical nitrogen foaming technology.This material exhibits a honeycomb structure,with pore cell sizes controllable within a range of 30–92μm by regulating the filler.The carbon fiber felt(CFf)provides efficient reflection of electromagnetic waves,while the chloroprene rubber/carbon fiber/carbon black foam facilitates both wave absorption and temperature monitoring through its optimized conductive network.This synergistic mechanism results in an EMI shielding effectiveness(SE)of 60.06 d B with excellent temperature sensing performance(The temperature coefficient of resistance(TCR)is-2.642%/℃)in the 24–70℃ range.Notably,the material has a thermal conductivity of up to 0.159 W/(m·K),and the bio-inspired layered design enables information encryption,demonstrating the material's potential for secure communication applications.The foam also has tensile properties of up to 5.13 MPa and a tear strength of 33.02 N/mm.This biomimetic design overcomes the traditional limitations of flexible materials and provides a transformative solution for next-generation applications such as flexible electronics,aerospace systems and military equipment,which urgently need integrated electromagnetic protection,thermal management and information security. 展开更多
关键词 Flexibility Cellular structures Electromagnetic interference shielding Temperature sensor Message encryption
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Emission regulation in 0D hybrid copper halides via structural transformation:From defect to non-defect states for information encryption and storage 认领 引用 被引量：1
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作者 Lin Yang Xia Liu +4 位作者 Bohan Li Zhuo Liu Yani Li Canzhi Shi Yan Xu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期771-776,共6页
Zero-dimensional(0D)hybrid copper halides have attracted significant attention owing to their unique photophysical properties and remarkable structural diversity.In this work,two 0D self-assemblies compounds of copper... Zero-dimensional(0D)hybrid copper halides have attracted significant attention owing to their unique photophysical properties and remarkable structural diversity.In this work,two 0D self-assemblies compounds of copper iodide dimers were synthesized,namely,(4-MBTP)2(Cu2I4)0.5I(1)and(4-MBTP)(Cu2I4)0.5(2)(4-MBTP=(4-methylbenzyl)triphenylphosphonium chloride).Compound 1 exhibits blue emission centered at 474 nm,while compound 2 shows yellow emission centered at 559 nm at room temperature.The results combined with crystal structure,spectroscopy analysis,characterization,and theoretical studies reveal that the blue light of compound 1 stems from multiple defect states caused by the presence of I vacancies,while the yellow emission of compound 2 is attributed to through-space charge-transfer(TSCT)and cluster-centered(CC)excited state.Strikingly,the crystal structure can transform from compound 1 into compound 2 with luminescence color change from blue to yellow through treating with methanol.This work provides a structural transformation strategy of hybrid copper halides,as well as realizes the regulation of light emission from defect states to non-defect states,making them feasible candidates for information encryption and optical data storage. 展开更多
关键词 Zero-dimensional hybrid metal halide Emission regulation Structural transformation Information encryption Optical data storage
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HEbdMIA:Lightweight Logit Encryption for Membership Inference Defense 认领 引用
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作者 Akash Shah Mudasir Ahmad Wani +4 位作者 Ravi Prakash Chaturvedi Shri Kant Nidhi Sindhwani Kashish Ara Shakil Sulieman Alshuhri 《Computers, Materials & Continua》 SCIE EI 2026年第9期2355-2375,共21页
Membership Inference Attacks(MIAs)pose a significant privacy risk in machine learning by enabling adversaries to infer whether specific data samples were used during training,particularly in sensitive domains such as ... Membership Inference Attacks(MIAs)pose a significant privacy risk in machine learning by enabling adversaries to infer whether specific data samples were used during training,particularly in sensitive domains such as social media and mental health analytics.To address this challenge,this paper proposes HEbdMIA,a lightweight homomorphic encryption-based defense that operates at the post-inference stage by encrypting model output logits without requiring retraining or architectural modifications.The proposed approach preserves the relative ordering of predictions while obscuring confidence patterns exploited by MIAs.Experimental evaluation on DepInferAttack and BotInferAttack demonstrates that HEbdMIA achieves a reduction in MIA success rates of 31.0%and 27.3%,respectively,with an associated accuracy decrease of 29.3%and 26.4%,reflecting a controlled privacy and utility trade-off.Additional analysis using precision,recall,F1-score,and ROC-AUC confirms a substantial decline in adversarial inference capability.These findings indicate that HEbdMIA provides an effective,scalable,and deployment-friendly solution for enhancing privacy in real-world machine learning systems. 展开更多
关键词 Membership inference attack homomorphic encryption machine learning encrypted data logit encryption model security
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Orthogonal Stimulus-Responsive Ca3Ga2Ge3O12:Pr3+for Real-Time X-Ray Dosimetry and Dynamic Information Encryption 认领 引用
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作者 Qi Chen Wenqiang Wang +8 位作者 Ping Liu Weifang Bu Yang Yue Yifan Shang Feixiang Xiong Ting Wang Xiangke Niu Zhiqiang Li Xue Yu 《Rare Metals》 SCIE EI CAS CSCD 2026年第3期422-429,共8页
Multimodal luminescent materials are crucial for advanced information encryption,real-time dosimetry,and high-resolution bioimaging,yet integrating orthogonal stimulus-responsiveness into a single-component system is ... Multimodal luminescent materials are crucial for advanced information encryption,real-time dosimetry,and high-resolution bioimaging,yet integrating orthogonal stimulus-responsiveness into a single-component system is challenging.Herein,we report a Pr3+-doped Ca3Ga2Ge3O12(CGGO:Pr3+)garnet phosphor that exhibits orthogonally addressable luminescence under ultraviolet(UV)light,X-ray radiation,and thermal stimulation.This phosphor demonstrates dual spectrally distinct emissions with relative intensities that can be precisely modulated by varying the excitation wavelength or ambient temperature,enabling color tuning from blue to orange.Furthermore,time-resolved multi-color afterglow after UV or X-ray pre-excitation,along with thermally stimulated luminescence,provides complementary readout channels.Notably,CGGO:Pr3+exhibits dose-rate-and temperature-dependent color evolution(from blue-white to orange-white)under concurrent UV and X-ray irradiation,facilitating real-time naked-eye monitoring of both X-ray dose rate and temperature.By leveraging these orthogonal response modes,we demonstrate visual real-time X-ray dose and temperature detection,high-security X-ray imaging,and 3D-encrypted quick response codes.This study establishes CGGO:Pr3+as a versatile single-component platform for orthogonal stimuli-responsive applications,advancing the fields of dynamic information encryption and instantaneous X-ray dose-rate visualization. 展开更多
关键词 dynamic information encryption orthogonal stimulus-responsiveness X-ray dosimetry
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Research on an intelligent encryption method for remote sensing images with variable dimension employing dual-chaotic system 认领 引用
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作者 Jiahui Yu Zhenlong Man +1 位作者 Fan Zhang Xiangfu Meng 《Optoelectronics Letters》 EI 2026年第1期41-45,共5页
The rapid advancement of remote sensing technology has heightened concerns over the security of sensitive information.This paper presents an intelligent encryption scheme for remote sensing images using dimensionality... The rapid advancement of remote sensing technology has heightened concerns over the security of sensitive information.This paper presents an intelligent encryption scheme for remote sensing images using dimensionality variation.The scheme employs two high-dimensional chaotic systems to generate keys for simultaneous row-column scrambling and diffusion.By mapping a two-dimensional(2D)plain-image to a three-dimensional(3D)space,pixels are rearranged within a 3D cube using a chaotic key,followed by auto-correlation cyclic diffusion.Experimental results demonstrate that this approach significantly enhances encryption security,making it suitable for secure remote sensing image communication. 展开更多
关键词 d cube variable dimension dimensionality variationthe chaotic keyfollowed intelligent encryption scheme intelligent encryption remote sensing images remote sensing technology
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Color image encryption algorithm using a new four-dimensional hyperchaotic system 认领 引用
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作者 Bo Lin Min Liu Guodong Ye 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期378-395,共18页
With the widespread applications of digital images in fields such as medical imaging,remote sensing,and financial transactions,ensuring image confidentiality has become increasingly important.However,some existing ima... With the widespread applications of digital images in fields such as medical imaging,remote sensing,and financial transactions,ensuring image confidentiality has become increasingly important.However,some existing image encryption schemes still suffer from limited key space and insufficient security.To address these,this paper proposes a novel color image encryption algorithm(CIEA-4DALHS)based on a newly constructed four-dimensional augmented Lü hyperchaotic system(4DALHS).The scheme integrates bidirectional spiral cross scrambling with arbitrary starting points and four traversal modes,bit-plane substitution for fine-grained pixel modification,and hierarchical regional segmentation diffusion with cross-channel cascading effects.These strategies significantly enhance both permutation and diffusion effects.Experimental results and security analysis demonstrate the superiority of CIEA-4DALHS.For example,the key space is sufficiently large,high ciphertext information entropy,and strong robustness against statistical and differential attacks.Compared with recent methods,the proposed scheme CIEA-4DALHS offers both high efficiency and security,highlighting its strong potential for real-world applications in image protection. 展开更多
关键词 image encryption hyperchaotic system bit-plane substitution dynamic analysis security analysis
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Multilevel Military Image Encryption Based on Tri-Independent Keying Approach 认领 引用
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作者 Shereen S.Jumaa Mohsin H.Challoob Amjad J.Humaidi 《Computers, Materials & Continua》 SCIE EI 2026年第4期1548-1564,共17页
Military image encryption plays a vital role in ensuring the secure transmission of sensitive visual information from unauthorized access.This paper proposes a new Tri-independent keying method for encrypting military... Military image encryption plays a vital role in ensuring the secure transmission of sensitive visual information from unauthorized access.This paper proposes a new Tri-independent keying method for encrypting military images.The proposed encryption method is based on multilevel security stages of pixel-level scrambling,bitlevel manipulation,and block-level shuffling operations.For having a vast key space,the input password is hashed by the Secure Hash Algorithm 256-bit(SHA-256)for generating independently deterministic keys used in the multilevel stages.A piecewise pixel-level scrambling function is introduced to perform a dual flipping process controlled with an adaptive key for obscuring the spatial relationships between the adjacent pixels.Adynamicmasking scheme is presented for conducting a bit-level manipulation based on distinct keys that change over image regions,providing completely different encryption results on identical regions.To handle the global correlation between large-scale patterns,a chaotic index-map system is employed for shuffling image regions randomly across the image domain based on a logistic map seeded with a private key.Experimental results on a dataset of military images show the effectiveness of the proposed encryption method in producing excellent quantitative and qualitative results.The proposed method obtains uniform histogram distributions,high entropy values around the ideal(≈8 bits),Number of Pixel Change Rate(NPCR)values above 99.5%,and low Peak Signal-to-Noise Ratio(PSNR)over all encrypted images.This validates the robustness of the proposed method against cryptanalytic attacks,verifying its ability to serve as a practical basis for secure image transmission in defense systems. 展开更多
关键词 Military image encryption pixel-level scrambling bit-level manipulation block-level shuffling password hashing dynamic encryption key spatial pixel correlation chaotic system
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Privacy-Aware Anomaly Detection in Encrypted Network Traffic via Adaptive Homomorphic Encryption 认领 引用
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作者 Yu-Ran Jeon Seung-Ha Jee +1 位作者 Su-Kyoung Kim Il-Gu Lee 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第3期1164-1181,共18页
As cyberattacks become increasingly sophisticated and intelligent,demand for machine-learning-based anomaly detection systems is growing.However,conventional systems generally assume a trusted server environment,where... As cyberattacks become increasingly sophisticated and intelligent,demand for machine-learning-based anomaly detection systems is growing.However,conventional systems generally assume a trusted server environment,where traffic data is collected and analyzed in plaintext.This assumption introduces inherent privacy risks,as privacy-sensitive information may be exposed if the server is compromised or misused.To address this limitation,privacy-preserving anomaly detection approaches have been actively studied,enabling anomaly detection to be performed directly on encrypted traffic without revealing privacy-sensitive data.While these approaches offer strong confidentiality guarantees,they suffer from significant drawbacks,including substantial computational overhead,high latency,and degraded detection accuracy.To overcome these limitations,we propose a privacy-aware anomaly detection(PAAD)model that adaptively applies homomorphic encryption based on the privacy sensitivity of incoming traffic.Instead of encrypting all data indiscriminately,PAAD dynamically determines whether traffic should be processed in plaintext or ciphertext and performs homomorphic inference only for privacy-sensitive data.This selective encryption strategy effectively balances privacy protection and system efficiency.Extensive experiments conducted under diverse network environments demonstrate that the proposed PAAD model significantly outperforms conventional anomaly detection models.In particular,PAAD improves detection accuracy by up to 73%,reduces latency by up to 8.6 times,and achieves negligible information leakage,highlighting its practicality for real-world privacy-sensitive network monitoring scenarios. 展开更多
关键词 Homomorphic encryption machine learning privacy-aware anomaly detection
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Secure IoT Data Transmission Using MPEG Derived Motion Vectors and Dual Encryption Techniques 认领 引用
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作者 Sara H.Elsayed Rodaina Abdelsalam +2 位作者 Mahmoud A.Ismail Shoman Raed Alotaibi Omar Reyad 《Computers, Materials & Continua》 SCIE EI 2026年第7期562-581,共20页
In today’s digitally connected world,where cyber threats are becoming increasingly complex,finding modern and secure text encryption solutions that maintain maximum runtime performance while offering high-level prote... In today’s digitally connected world,where cyber threats are becoming increasingly complex,finding modern and secure text encryption solutions that maintain maximum runtime performance while offering high-level protection is more crucial.The deployment of sophisticated security paradigms is often accompanied by a significant escalation in computational overhead.Thus,the fundamental objective resides in the mitigation of computational overhead while maintaining an uncompromising security posture.Internet of Things(IoT)devices require strong security measures for data transmission.Also,protecting communication channels against illegal access and eavesdropping has become crucial due to the exponential expansion of the IoT.The IoT implementations frequently have weak,unencrypted data streams that are susceptible to manipulation and interception.In order to overcome this,the proposed work incorporates lightweight protection using Moving Picture Experts Group(MPEG)derived motion vectors and dual encryption techniques to guarantee message confidentiality and integrity via limited IoT networks.The proposed method starts with resizing MPEG video frames to dimensions[1080,1920].After extracting motion vectors from two successive video frames,scale the obtained vectors to 1000.The exclusive OR(XOR)procedure is applied to the combined motion vectors.A one-dimensional(1D)vector is then produced.The initial elliptic curve Diffie-Hellman(ECDH)private key is created using a mapping of a hash function.The public keys,shared secret keys,and a second private key are also created.The shared secret key is used to generate the Advanced Encryption Standard(AES)main key.After that,the created AES is used to encrypt and decrypt text messages ranging in length from 10 to 300 bytes.Several evaluation metrics,including mean square error(MSE),peak signal to noise ratio(PSNR),correlation coefficient(CC),avalanche Effect(AE),and compression ratio(CR)values,are evaluated between the original and ciphertext.The presented method has demonstrated optimal performance in terms of encryption and decryption times as well as public and private key generation.Thus,improving the IoT application’s overall security condition by guaranteeing that only authorized endpoints can decrypt and read the data,and showing minimal latency overhead as compared to insecure transmission.This suggests that it is a highly effective solution for secure text communication,offering lightweight encryption suitable for a wide range of resource-constrained and real-time applications. 展开更多
关键词 MPEG motion vectors encryption decryption IoT ECDH AES MES PSNR CC AE CR
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Dynamic analysis and DNA coding-based image encryption of memristor synapse-coupled hyperchaotic IN-HNN network 认领 引用
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作者 Shuang Zhao Yunzhen Zhang +2 位作者 Xiangjun Chen Bin Gao Chengjie Chen 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第1期79-91,共13页
The rapid development of brain-like neural networks and secure data transmission technologies has placed greater demands on highly complex neural network systems and highly secure encryption methods.To this end,the pa... The rapid development of brain-like neural networks and secure data transmission technologies has placed greater demands on highly complex neural network systems and highly secure encryption methods.To this end,the paper proposes a novel high-dimensional memristor synapse-coupled hyperchaotic neural network by using the designed memristor as the synapse to connect an inertial neuron(IN)and a Hopfield neural network(HNN).By using numerical tools including bifurcation plots,phase plots,and basins of attraction,it is found that the dynamics of this system are closely related to the memristor coupling strength,self-connection synaptic weights,and inter-connection synaptic weights,and it can exhibit excellent hyperchaotic behaviors and coexisting multi-stable patterns.Through PSIM circuit simulations,the complex dynamics of the coupled IN-HNN system are verified.Furthermore,a DNA-encoded encryption algorithm is given,which utilizes generated hyperchaotic sequences to achieve encoding,operation,and decoding of DNA.The results show that this algorithm possesses strong robustness against statistical attacks,differential attacks,and noise interference,and can effectively resist known/selected plaintext attacks.This work will provide new ideas for the modeling of large-scale brainlike neural networks and high-security image encryption. 展开更多
关键词 inertial neuron(IN) Hopfield neural network(HNN) memristor synapse hyperchaotic attractor image encryption
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SecureBadger:a homomorphic encryption-based framework for secure medical inference 认领 引用
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作者 Zhaoyang He Wenti Yang +1 位作者 Longfei Wu Zhitao Guan 《Digital Communications and Networks》 SCIE EI CSCD 2026年第5期743-754,共12页
With the rapid development of Artificial Intelligence of Things(AIoT)technology,its adoption in the field of smart healthcare is becoming increasingly pervasive.Leading cloud service providers like IBM Watson Health n... With the rapid development of Artificial Intelligence of Things(AIoT)technology,its adoption in the field of smart healthcare is becoming increasingly pervasive.Leading cloud service providers like IBM Watson Health now offer neural network inference services tailored for smart healthcare applications-users simply need to send data to the server to get the diagnosis results.However,a growing concern arises regarding the potential compromise of user privacy.Currently,researchers propose the use of secure multi-party computation and homomorphic encryption techniques to address this issue.Nevertheless,further exploration and improvement are needed to mitigate the side effects,such as increased latency and challenges in meeting real-time monitoring requirements.In this paper,we propose a secure homomorphic encryption-based inference framework named SecureBadger for two typical medical inference scenarios:disease diagnosis based on image analysis and health monitoring with smart wearable devices.We design two inference modes-large-scale batch inference and small-scale low-latency inference.Additionally,different ciphertext packaging schemes are designed to enhance inference efficiency for different inference modes,different input data types and different network layers.Experimental evaluations are conducted on several datasets,and the results indicate that SecureBadger can significantly reduce the inference time overhead in both inference modes. 展开更多
关键词 Homomorphic encryption Secure inference Smart healthcare Wearable health technology Artificial Intelligence of Things
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A Robust Image Encryption Method Based on the Randomness Properties of DNA Nucleotides 认领 引用
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作者 Bassam Al-Shargabi Mohammed Abbas Fadhil Al-Husainy +1 位作者 Abdelrahman Abuarqoub Omar Albahbouh Aldabbas 《Computers, Materials & Continua》 SCIE EI 2026年第4期391-415,共25页
The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently... The advent of 5G technology has significantly enhanced the transmission of images over networks,expanding data accessibility and exposure across various applications in digital technology and social media.Consequently,the protection of sensitive data has become increasingly critical.Regardless of the complexity of the encryption algorithm used,a robust and highly secure encryption key is essential,with randomness and key space being crucial factors.This paper proposes a new Robust Deoxyribonucleic Acid(RDNA)nucleotide-based encryption method.The RDNA encryption method leverages the unique properties of DNA nucleotides,including their inherent randomness and extensive key space,to generate a highly secure encryption key.By employing transposition and substitution operations,the RDNA method ensures significant diffusion and confusion in the encrypted images.Additionally,it utilises a pseudorandom generation technique based on the random sequence of nucleotides in the DNA secret key.The performance of the RDNA encryption method is evaluated through various statistical and visual tests,and compared against established encryption methods such as 3DES,AES,and a DNA-based method.Experimental results demonstrate that the RDNA encryption method outperforms its rivals in the literature,and achieves superior performance in terms of information entropy,avalanche effect,encryption execution time,and correlation reduction,while maintaining competitive values for NMAE,PSNR,NPCR,and UACI.The high degree of randomness and sensitivity to key changes inherent in the RDNA method offers enhanced security,making it highly resistant to brute force and differential attacks. 展开更多
关键词 Security analysis image protection randomness in cryptography DNA nucleotides DNA-based encryption
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TQKD:A More Efficient QKD Network Based on Homomorphic Encryption Technology 认领 引用
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作者 Tianhua Lin Sijiang Xie +2 位作者 Yalong Yan Jianguo Xie Ang Liu 《Computers, Materials & Continua》 SCIE EI 2026年第7期755-778,共24页
Quantum key distribution(QKD)provides unconditional security but relies on repeaters to extend coverage,thereby introducing repeater trust risks—compromised repeaters may leak keys.Brakerski/Fan-Vercauteren scheme(BF... Quantum key distribution(QKD)provides unconditional security but relies on repeaters to extend coverage,thereby introducing repeater trust risks—compromised repeaters may leak keys.Brakerski/Fan-Vercauteren scheme(BFV)-based QKD addresses this issue through key encryption and quantum attack resistance.However,Fast Fully Homomorphic Encryption over the Torus(TFHE)outperforms BFV in encryption/decryption speed for single-qubit homomorphic XOR operations,which is critical for the real-time requirements of QKD.We propose TFHE-based QKD(TQKD),a quantum key distribution protocol based on public-key TFHE.During key forwarding,it leverages the“usable-but-unobservable”property of homomorphic encryption to prevent key exposure.A reduction proof verifies the scheme’s Indistinguishability under Chosen-Plaintext Attack(IND-CPA)security.To validate TQKD’s computational speed advantage,we developed code using the Open-Source Fully Homomorphic Encryption Library(OpenFHE)platform and designed single-pass and multi-hop relay experiments.We compared the computational efficiency of TQKD against QKD schemes based on similar homomorphic encryption algorithms,Brakerski-Gentry-Vaikuntanathan scheme(BGV)and BFV.Results demonstrate that our scheme achieves faster key encryption/decryption speeds in both scenarios,significantly reducing processing time compared to similar algorithms.Furthermore,while enhancing the scalability of quantum key distribution networks,the added computational overhead is negligible,indicating higher practical value. 展开更多
关键词 Quantum key distribution untrusted relay homomorphic encryption learning with errors TFHE OpenFHE
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Brownian-Perturbed Hénon Map for Image Encryption:Application in Biomedical Images 认领 引用
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作者 Walaa Alayed Asad Ur Rehman +2 位作者 M.Awais Ehsan Waqar Ul Hassan Ahmed Zeeshan 《Computers, Materials & Continua》 SCIE EI 2026年第7期736-754,共19页
The rapid growth in the field of data and cloud computing has made it essential to ensure information security.Encryption consists of multiple layers,among which a critical component is the Substitution box(S-box).The... The rapid growth in the field of data and cloud computing has made it essential to ensure information security.Encryption consists of multiple layers,among which a critical component is the Substitution box(S-box).The S-box provides nonlinearity and confusion between the original and cipher forms,and its performance directly determines the security of the cipher against cryptanalysis.Chaotic systems have been widely used for image encryption,however,they suffer from well known limitations such as deterministic periodicity and reduced unpredictability in finite field digital environments.To address these issues,we propose a new S-box generation scheme based on an improved chaotic map,which combines the Hénon chaotic map with Brownian motion,concept in thermodynamics.In the proposed method,the initial keys used in the permutation and diffusion stages interact with each other,thereby enhancing the complexity of the system.We leverage the sensitivity and periodicity of the Hénon map and inject a zigzag Brownian motion sequence into its iteration process to overcome limitations of standalone chaotic maps.The extended scheme is implemented,and a comprehensive security analysis is performed on various cipher images obtained through the modified design.The results of the analysis demonstrate strong security properties,while the running time of the proposed scheme is comparatively better.The proposed scheme is both novel and adaptable,making it suitable for enhancing resistance against differential and algebraic attacks.Hénon-map S-box with Brownian perturbation secures biomedical images(MRI/CT,ultrasound and Xrays)and biofluid sequences(micro-PIV/microfluidics).High unpredictability enables real-time encryption which preserves privacy of patient data/IP. 展开更多
关键词 Substitution boxes cryptography encryption Hénon chaotic map biomedical biofluid Brownian motion
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Cucurbit[7]uril-confined cascade assembly of cyclodextrin phosphor derivative achieving multicolor delayed luminescence for information encryption 认领 引用
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作者 Jie Niu Xuan Wu +4 位作者 Jie Yu Zhuo Lei Ying-Ming Zhang Li-Hua Wang Yu Liu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期332-338,共7页
Macrocyclic cascade supramolecular assembly could significantly enhance the fluorescence/phosphorescence resonance energy transfer(F/PRET)efficiency through macrocyclic and spatial dual confinement effect.Herein,we re... Macrocyclic cascade supramolecular assembly could significantly enhance the fluorescence/phosphorescence resonance energy transfer(F/PRET)efficiency through macrocyclic and spatial dual confinement effect.Herein,we reported a cascade supramolecular assembly containing6-bromoisoquinolinium-modified permethylated cyclodextrin(BQ-PCD),cucurbit[7]uril(CB[7]),and tetra(4-sulfonatophenyl)porphyrin(TPPS),in which the enhanced PRET from 6-bromoisoquinolinium(BQ)to TPPS could be achieved through the dual macrocyclic confinement for multicolor delayed luminescence and information encryption.In TPPS⊂BQ-PCD⊂CB[7],pure organic room temperature phosphorescence of BQ-PCD at 530 nm is induced by CB[7]macrocyclic confinement,which further transferred to TPPS via spatial confinement,achieving delayed fluorescence at 645 and 715 nm with high PRET efficiency and quantum yield(17.9%).Meanwhile,reversible TPPS concentration-dependent multicolor luminescence was achieved in presence of competitive guest(methionine peptide),followed by porphyrin-photosensitization process,being applied in information encryption.This research presents a facile strategy for efficient PRET through macrocyclic cascade confinement assembly. 展开更多
关键词 Macrocyclic confinement effect Cascade assembly Phosphorescence resonance energy transfer Delayed multicolor luminescence Guest competitive binding Information encryption
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Multiferroic Sensing-Logic Photodetectors for Encryption Communication 认领 引用
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作者 Xiaoming Wang Wenlong Su +3 位作者 Li Zhen Chunyan He Shifeng Zha Yulong Ba 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第5期348-371,共24页
Near-sensor computing technology shows high efficiency and intelligence,exhibiting significant promise in the post-Moore era.The light power density and wavelength are used as the stimulations to implement reconfigura... Near-sensor computing technology shows high efficiency and intelligence,exhibiting significant promise in the post-Moore era.The light power density and wavelength are used as the stimulations to implement reconfigurable logic operations(AND,OR)in dual-band-response Bi0.5Na0.5Ti0.85Fe0.15O3multiferroic photodetectors,where the polarization-dependent photocurrents are the weighting factors.The p-d hybridization between the O atom and Fe dopants constructs the mixed band structure and carrier transport network.The in-sensor computing photodetectors showcase optical encryption communication of the English alphabet and Chinese characters by ASCII code.This research holds promise for the in-sensor computing paradigm,enabling complex tasks. 展开更多
关键词 reconfigurable logic operations multiferroic sensing mixed band structure o atom fe dopants carrier tra logic photodetectors encryption communication
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