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LEAF:A Lightweight Edge Agent Framework with Expert SLMs for the Industrial Internet of Things 认领 引用
1
作者 Qingwen Yang Zhi Li +3 位作者 Jiawei Tang Yanyi Liu Tiezheng Guo Yingyou Wen 《Computers, Materials & Continua》 SCIE EI 2026年第5期716-730,共15页
Deploying Large LanguageModel(LLM)-based agents in the Industrial Internet ofThings(IIoT)presents significant challenges,including high latency from cloud-based APIs,data privacy concerns,and the infeasibility of depl... Deploying Large LanguageModel(LLM)-based agents in the Industrial Internet ofThings(IIoT)presents significant challenges,including high latency from cloud-based APIs,data privacy concerns,and the infeasibility of deploying monolithic models on resource-constrained edge devices.While smaller models(SLMs)are suitable for edge deployment,they often lack the reasoning power for complex,multi-step tasks.To address these issues,this paper introduces LEAF,a Lightweight Edge Agent Framework designed for efficiently executing complex tasks at the edge.LEAF employs a novel architecture where multiple expert SLMs—specialized for planning,execution,and interaction—work in concert,decomposing complex problems into manageable sub-tasks.To mitigate the resource overhead of this multi-model approach,LEAF implements an efficient parameter-sharing scheme based on Scalable Low-Rank Adaptation(S-LoRA).We introduce a two-stage training strategy combining Supervised Fine-Tuning(SFT)and Group Relative Policy Optimization(GRPO)to significantly enhance each expert’s capabilities.Furthermore,a Finite StateMachine(FSM)-based decision engine orchestrates the workflow,uniquely balancing deterministic control with intelligent flexibility,making it ideal for industrial environments that demand both reliability and adaptability.Experiments across diverse IIoT scenarios demonstrate that LEAF significantly outperforms baseline methods in both task success rate and user satisfaction.Notably,our fine-tuned 4-billion-parameter model achieves a task success rate over 90%in complex IIoT scenarios,demonstrating LEAF’s ability to deliver powerful and efficient autonomy at the industrial edge. 展开更多
关键词 Industrial internet of things edge computing LLM-based agents small language models
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Efficient and Secure Data Storage in 5G Industrial Internet Collaborative Systems 认领 引用
2
作者 Wang Jigang Liu Dong +1 位作者 Wan Changsheng Lu Ping 《ZTE Communications》 2026年第1期45-55,共11页
Security and access control for data storage in 5G industrial Internet collaborative systems are facing significant challenges.The characteristics of 5 G networks,such as low latency and high speed,facilitate data tra... Security and access control for data storage in 5G industrial Internet collaborative systems are facing significant challenges.The characteristics of 5 G networks,such as low latency and high speed,facilitate data transmission in the industrial Internet but also increase vulnerability to attacks like theft and tampering.Moreover,in 5G industrial Internet collaborative system environments,data flows across multiple entities and links,which necessitates a flexible access control model to meet specific data access requirements.Traditional role-based and attribute-based access control mechanisms are difficult to apply in such dynamic application scenarios.To address these challenges,we propose a novel data storage solution for 5G industrial Internet collaborative systems.Similar to existing approaches,it provides integrity and confidentiality protection for transmitted data.In terms of security,only authenticated data owners and users can obtain file decryption keys,preventing malicious attackers from data forgery.Regarding access control,decryption is permitted only to authorized data users,safeguarding against unauthorized file access.Furthermore,by introducing an attribute-based encryption mechanism,only data users with specific attributes can decrypt files.In terms of efficiency,our approach utilizes bilinear and modular exponentiation operations solely during the authentication process.For handling substantial data loads,lightweight cryptographic algorithms are employed.Consequently,our solution achieves higher efficiency compared with other known methods.Experimental results demonstrate the feasibility of our approach in real-world applications. 展开更多
关键词 5G industrial Internet collaborative systems data storage identity-based authentication access control
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Open-Set Intrusion Detection Solution for Industrial Internet of Things Based on Deep Spiking Q-Networks 认领 引用
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作者 Yimeng Liu Xinyu Xu +2 位作者 Wangting Xue Shigen Shen Xiao-Zhi Gao 《Computers, Materials & Continua》 SCIE EI 2026年第9期2305-2333,共29页
The rapid growth of the Industrial Internet of Things(IIoT)has become a cornerstone of high-quality global economic development.By integrating sensor networks,edge computing,and cloud intelligence,IIoT has emerged as ... The rapid growth of the Industrial Internet of Things(IIoT)has become a cornerstone of high-quality global economic development.By integrating sensor networks,edge computing,and cloud intelligence,IIoT has emerged as a key enabler for smart manufacturing and digital transformation across industries.However,this technological advancement introduces significant cybersecurity challenges that render traditional intrusion detection systems inadequate for IIoT environments.To address this critical gap,we propose a deep spiking Q-network(DSQN)-based intrusion detection system(DSQN-IDS)for the IIoT,formulating unknown intrusion detection as a Markov decision process(MDP).The system employs a hierarchical multi-stage decision-making framework integrating conditional variational autoencoders(CVAE)for feature extraction,deep Q-networks(DQN)for reinforcement learning-based decision-making,and spiking neural networks(SNNs)for energy-efficient classification.We train the DSQN using a multi-layer perceptron(MLP)to approximate the state-action value function,and leverage the event-driven nature of SNNs—where neurons only spike when their membrane potential exceeds a threshold—to minimize energy consumption.Extensive experiments on IIoT datasets demonstrate that our approach achieves superior performance in balancing detection accuracy,energy efficiency,and model stability when identifying unknown attacks compared to state-of-the-art methods. 展开更多
关键词 Deep spiking Q-network pulse reinforcement learning intrusion detection open-set Industrial Internet of Things
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Cross-Domain Robust Dynamic Trust Evaluation for Industrial Internet of Things Edge Nodes 认领 引用
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作者 Qiuguo Guan Zhiyu Ren 《Computers, Materials & Continua》 SCIE EI 2026年第8期2363-2393,共31页
To address trust-score drift and unsafe online adaptation under cross-domain attack-contaminated streams in Industrial Internet of Things(IIoT)edge environments,this paper proposes a risk-aware lightweight test-time a... To address trust-score drift and unsafe online adaptation under cross-domain attack-contaminated streams in Industrial Internet of Things(IIoT)edge environments,this paper proposes a risk-aware lightweight test-time adaptation(TTA)framework,named RaL-TTA,for dynamic trust evaluation of edge nodes.RaL-TTA constructs a low-dimensional robust feature space and a source-domain normal-entropy reference baseline,and performs selective online maintenance in the target domain through Kolmogorov–Smirnov(KS)drift detection,SafeBrake risk gating,Adaptive Batch Normalization(AdaBN)anchor protection,and budgeted sample-level safeguards.Low-risk batches are adapted by updating only lightweight Batch Normalization(BN)parameters,whereas high-risk batches freeze online updates and invoke anchor-based protective inference.Experiments on Edge-IIoTset show that RaL-TTA substantially improves perturbation-stage attack detection and false-positive control compared with general TTA baselines while maintaining post-perturbation stability.In the main Edge-IIoTset setting,RaL-TTA achieves a perturbation-stage true positive rate(TPR)of 1.0000,false positive rate(FPR)of 0.0410,F1-score of 0.9544,and accuracy of 0.9713,while updating only 192 online parameters.External validation on X-IIoTID,a connectivity-and device-agnostic intrusion dataset for IIoT,further evaluates cross-service generalization under Modbus,Message Queuing Telemetry Transport(MQTT),and WebSocket target services.Additional sensitivity,startup-window robustness,calibration,and runtime-overhead analyses further characterize the stability,deployment assumptions,trust-score reliability,and edge-side feasibility of the proposed framework. 展开更多
关键词 Industrial Internet of Things dynamic trust evaluation cross-domain intrusion detection test-time adaptation risk-constrained adaptation edge security
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Lightweight Hash-Based Post-Quantum Signature Scheme for Industrial Internet of Things 认领 引用
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作者 Chia-Hui Liu 《Computers, Materials & Continua》 SCIE EI 2026年第2期1041-1058,共18页
TheIndustrial Internet of Things(IIoT)has emerged as a cornerstone of Industry 4.0,enabling large-scale automation and data-driven decision-making across factories,supply chains,and critical infrastructures.However,th... TheIndustrial Internet of Things(IIoT)has emerged as a cornerstone of Industry 4.0,enabling large-scale automation and data-driven decision-making across factories,supply chains,and critical infrastructures.However,the massive interconnection of resource-constrained devices also amplifies the risks of eavesdropping,data tampering,and device impersonation.While digital signatures are indispensable for ensuring authenticity and non-repudiation,conventional schemes such as RSA and ECCare vulnerable to quantumalgorithms,jeopardizing long-termtrust in IIoT deployments.This study proposes a lightweight,stateless,hash-based signature scheme that achieves post-quantum security while addressing the stringent efficiency demands of IIoT.The design introduces two key optimizations:(1)Forest ofRandomSubsets(FORS)onDemand,where subset secret keys are generated dynamically via a PseudoRandom Function(PRF),thereby minimizing storage overhead and eliminating key-reuse risks;and(2)Winternitz One-Time Signature Plus(WOTS+)partial hash-chain caching,which precomputes intermediate hash values at edge gateways,reducing device-side computations,latency,and energy consumption.The architecture integrates a multi-layerMerkle authentication tree(Merkle tree)and role-based delegation across sensors,gateways,and a Signature Authority Center(SAC),supporting scalable cross-site deployment and key rotation.Froma theoretical perspective,we establish a formal(Existential Unforgeability under Chosen Message Attack)EUF-CMA security proof using a game-based reduction framework.The proof demonstrates that any successful forgerymust reduce to breaking the underlying assumptions of PRF indistinguishability,(second)preimage resistance,or collision resistance,thus quantifying adversarial advantage and ensuring unforgeability.On the implementation side,our design achieves a balanced trade-off between postquantum security and lightweight performance,offering concrete deployment guidelines for real-time industrial systems.In summary,the proposed method contributes both practical system design and formal security guarantees,providing IIoT with a deployable signature substrate that enhances resilience against quantum-era threats and supports future extensions such as device attestation,group signatures,and anomaly detection. 展开更多
关键词 Industrial Internet of Things(IIoT) post-quantum cryptography hash-based signatures SPHINCS+
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Research on Multi-feature Fusion Method for Software Defect Prediction Based on Industrial Internet of Things 认领 引用
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作者 Jinpeng Xu 《Journal of Electronic Research and Application》 2026年第6期53-58,共6页
With the rapid development of Industrial Internet of Things technology,the scale of its software is expanding,the complexity of the system continues to rise,and the problem of software defects has become increasingly ... With the rapid development of Industrial Internet of Things technology,the scale of its software is expanding,the complexity of the system continues to rise,and the problem of software defects has become increasingly prominent.Software defect prediction technology can locate potential defects in advance and improve software reliability.However,most of the traditional software defect prediction methods rely on a single code metric feature,which makes it difficult to fully characterize the complex characteristics of Industrial Internet of Things software in the semantic information,program structure,and software evolution process,resulting in limited prediction performance.In view of the above problems,this paper focuses on the research of multi-feature fusion in software defect prediction in Industrial Internet of Things scenarios,focusing on the analysis of the role of different types of features in defect prediction and their fusion mechanism.Firstly,the features of code metrics,semantic features,and structure features involved in Industrial Internet of Things software defect prediction are analyzed.Secondly,the influence of different feature fusion methods on prediction performance is studied,including feature concatenation,weighted feature concatenation,attention fusion,and gating fusion.The research results have a certain reference value for Industrial Internet of Things software quality assurance and intelligent defect analysis. 展开更多
关键词 Industrial internet of things Software defect prediction Multi-feature fusion
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SA-WGAN Based Data Enhancement Method for Industrial Internet Intrusion Detection 认领 引用 被引量：1
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作者 Yuan Feng Yajie Si +2 位作者 Jianwei Zhang Zengyu Cai Hongying Zhao 《Computers, Materials & Continua》 SCIE EI 2025年第9期4431-4449,共19页
With the rapid development of the industrial Internet,the network security environment has become increasingly complex and variable.Intrusion detection,a core technology for ensuring the security of industrial control... With the rapid development of the industrial Internet,the network security environment has become increasingly complex and variable.Intrusion detection,a core technology for ensuring the security of industrial control systems,faces the challenge of unbalanced data samples,particularly the low detection rates for minority class attack samples.Therefore,this paper proposes a data enhancement method for intrusion detection in the industrial Internet based on a Self-Attention Wasserstein Generative Adversarial Network(SA-WGAN)to address the low detection rates of minority class attack samples in unbalanced intrusion detection scenarios.The proposed method integrates a selfattention mechanism with a Wasserstein Generative Adversarial Network(WGAN).The self-attention mechanism automatically learns important features from the input data and assigns different weights to emphasize the key features related to intrusion behaviors,providing strong guidance for subsequent data generation.The WGAN generates new data samples through adversarial training to expand the original dataset.In the SA-WGAN framework,the WGAN directs the data generation process based on the key features extracted by the self-attention mechanism,ensuring that the generated samples exhibit both diversity and similarity to real data.Experimental results demonstrate that the SA-WGAN-based data enhancement method significantly improves detection performance for attack samples from minority classes,addresses issues of insufficient data and category imbalance,and enhances the generalization ability and overall performance of the intrusion detection model. 展开更多
关键词 Data enhancement intrusion detection industrial internet WGAN
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Toward zero trust in 5G Industrial Internet collaboration systems 认领 引用 被引量：1
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作者 Han Zhang Ziyan Zhang Liquan Chen 《Digital Communications and Networks》 SCIE EI CSCD 2025年第2期547-555,共9页
With the introduction of 5G,users and devices can access the industrial network from anywhere in the world.Therefore,traditional perimeter-based security technologies for industrial networks can no longer work well.To... With the introduction of 5G,users and devices can access the industrial network from anywhere in the world.Therefore,traditional perimeter-based security technologies for industrial networks can no longer work well.To solve this problem,a new security model called Zero Trust(ZT)is desired,which believes in“never trust and always verify”.Every time the asset in the industrial network is accessed,the subject is authenticated and its trustworthiness is assessed.In this way,the asset in industrial network can be well protected,whether the subject is in the internal network or the external network.However,in order to construct the zero trust model in the 5G Industrial Internet collaboration system,there are still many problems to be solved.In this paper,we first introduce the security issues in the 5G Industrial Internet collaboration system,and illustrate the zero trust architecture.Then,we analyze the gap between existing security techniques and the zero trust architecture.Finally,we discuss several potential security techniques that can be used to implement the zero trust model.The purpose of this paper is to point out the further direction for the realization of the Zero Trust Architecture(ZTA)in the 5G Industrial Internet collaboration system. 展开更多
关键词 Zero trust 5G Industrial Internet collaboration system Trust assessment Access control Authentication
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Enterprise Digital Planning and Architecture Based on the Industrial Internet Platform 认领 引用
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作者 Li Wang Xiong Li +2 位作者 Juan Zhang Ming Luo Mengwei Liu 《Journal of Electronic Research and Application》 2025年第3期137-143,共7页
Under the current background of an information society,the digital transformation of enterprises has become a necessary means to enhance the competitiveness of enterprises.This article is based on the industrial Inter... Under the current background of an information society,the digital transformation of enterprises has become a necessary means to enhance the competitiveness of enterprises.This article is based on the industrial Internet platform,the digital planning and architecture of enterprises research.First,we analyze the current challenges of digital transformation and the development opportunities brought by the industrial Internet.Then,we propose a digital planning method based on the industrial Internet platform,which takes the full connectivity of people,machine and things and intelligent decision making as the core,takes data collection,processing,analysis and application as the main line,and finally forms the top-level design of the digital transformation of enterprises.At the same time,we also built an industrial Internet platform architecture model,including the previous end perception layer,network transmission layer,platform service layer,and application innovation layer for four levels,to support enterprises in innovative applications and decision support under the industrial Internet environment.Research shows that this kind of enterprise digital planning and architecture based on an industrial Internet platform can effectively promote enterprises to achieve business model innovation,system innovation,and strengthen the flexibility and agility of enterprises to respond to market changes.The results of this research not only have important theoretical and practical significance for guiding enterprises to carry out digital planning and build an industrial Internet platform,but also provide useful reference for relevant policy formulation. 展开更多
关键词 Industrial internet platform Enterprise digital planning Architecture model Innovative application Agility
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Industrial Internet Platform Architecture Design and Implementation in Thermal Power Plant 认领 引用
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作者 Tiejun Lin Kun Wu +1 位作者 Jianfeng Miao Kun Gao 《Journal of World Architecture》 2025年第6期73-78,共6页
As the global energy system transitions toward cleaner and low-carbon solutions,the thermal power industry faces dual challenges of improving efficiency and environmental protection.Industrial Internet technology,thro... As the global energy system transitions toward cleaner and low-carbon solutions,the thermal power industry faces dual challenges of improving efficiency and environmental protection.Industrial Internet technology,through integrating IoT,big data,and AI,provides crucial support for optimizing production processes,enabling intelligent equipment maintenance,and enhancing energy efficiency in thermal power plants.This paper focuses on the architecture design of industrial Internet platforms for thermal power plants,proposing a three-tier architecture model comprising edge layer,platform layer,and application layer.The edge layer integrates IoT protocol adaptation with edge computing technology to standardize access for multi-source heterogeneous devices and perform real-time data preprocessing,effectively addressing issues such as fragmented protocols and high latency in traditional thermal power plant equipment.The platform layer constructs a data middle platform and business middle platform using containerized microservices architecture,combining cloud computing and big data technologies to form a highly concurrent and available industrial PaaS platform that supports massive data storage,analysis,and service-oriented encapsulation.The application layer develops core modules including equipment health management,combustion optimization,and energy consumption analysis through digital twin technology and AI algorithms,establishing an intelligent decision support system that covers the entire production process. 展开更多
关键词 Thermal power plant Industrial Internet platform Hierarchical architecture Edge computing
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A Novel Secure Data Transmission Scheme in Industrial Internet of Things 认领 引用 被引量：31
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作者 Hongwen Hui Chengcheng Zhou +1 位作者 Shenggang Xu Fuhong Lin 《China Communications》 SCIE CSCD 2020年第1期73-88,共16页
The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new ch... The industrial Internet of Things(IoT)is a trend of factory development and a basic condition of intelligent factory.It is very important to ensure the security of data transmission in industrial IoT.Applying a new chaotic secure communication scheme to address the security problem of data transmission is the main contribution of this paper.The scheme is proposed and studied based on the synchronization of different-structure fractional-order chaotic systems with different order.The Lyapunov stability theory is used to prove the synchronization between the fractional-order drive system and the response system.The encryption and decryption process of the main data signals is implemented by using the n-shift encryption principle.We calculate and analyze the key space of the scheme.Numerical simulations are introduced to show the effectiveness of theoretical approach we proposed. 展开更多
关键词 industrial Internet of Things data transmission secure communication fractional-order chaotic systems
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Recent advances in Industrial Internet:insights and challenges 认领 引用 被引量：39
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作者 Wei Qin Siqi Chen Mugen Peng 《Digital Communications and Networks》 SCIE EI 2020年第1期1-13,共13页
The Industrial Internet is a promising technology combining industrial systems with Internet connectivity to significantly improve the product efficiency and reduce production cost by cooperating with intelligent devi... The Industrial Internet is a promising technology combining industrial systems with Internet connectivity to significantly improve the product efficiency and reduce production cost by cooperating with intelligent devices,in which the advanced computing,big data analysis and intelligent perception techniques have been involved.This paper comprehensively surveys the recent advances of the Industrial Internet,including reference architectures,key technologies,relative applications and future challenges.Reference architectures which have been proposed for different application scenarios and their corresponding characteristics are summarized.Key technologies,such as cloud computing,mobile edge computing,fog computing,which are classified according to different layers in the architecture,are presented to support a variety of applications in the Industrial Internet.Meanwhile,future challenges and research trends are discussed as well to promote further research of the Industrial Internet. 展开更多
关键词 Industrial Internet Reference architectures Cloud computing Mobile edge computing Fog computing
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An Overview of Privacy Preserving Schemes for Industrial Internet of Things 认领 引用 被引量：4
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作者 Yan Huo Chun Meng +1 位作者 Ruinian Li Tao Jing 《China Communications》 SCIE CSCD 2020年第10期1-18,共18页
The concept of Internet of Everything is like a revolutionary storm,bringing the whole society closer together.Internet of Things(IoT)has played a vital role in the process.With the rise of the concept of Industry 4.0... The concept of Internet of Everything is like a revolutionary storm,bringing the whole society closer together.Internet of Things(IoT)has played a vital role in the process.With the rise of the concept of Industry 4.0,intelligent transformation is taking place in the industrial field.As a new concept,an industrial IoT system has also attracted the attention of industry and academia.In an actual industrial scenario,a large number of devices will generate numerous industrial datasets.The computing efficiency of an industrial IoT system is greatly improved with the help of using either cloud computing or edge computing.However,privacy issues may seriously harmed interests of users.In this article,we summarize privacy issues in a cloud-or an edge-based industrial IoT system.The privacy analysis includes data privacy,location privacy,query and identity privacy.In addition,we also review privacy solutions when applying software defined network and blockchain under the above two systems.Next,we analyze the computational complexity and privacy protection performance of these solutions.Finally,we discuss open issues to facilitate further studies. 展开更多
关键词 privacy preserving cloud computing edge computing industrial Internet of Things
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An Efficient and Provably Secure SM2 Key-Insulated Signature Scheme for Industrial Internet of Things 认领 引用 被引量：2
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作者 Senshan Ouyang Xiang Liu +3 位作者 Lei Liu Shangchao Wang Baichuan Shao Yang Zhao 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第1期903-915,共13页
With the continuous expansion of the Industrial Internet of Things(IIoT),more andmore organisations are placing large amounts of data in the cloud to reduce overheads.However,the channel between cloud servers and smar... With the continuous expansion of the Industrial Internet of Things(IIoT),more andmore organisations are placing large amounts of data in the cloud to reduce overheads.However,the channel between cloud servers and smart equipment is not trustworthy,so the issue of data authenticity needs to be addressed.The SM2 digital signature algorithm can provide an authentication mechanism for data to solve such problems.Unfortunately,it still suffers from the problem of key exposure.In order to address this concern,this study first introduces a key-insulated scheme,SM2-KI-SIGN,based on the SM2 algorithm.This scheme boasts strong key insulation and secure keyupdates.Our scheme uses the elliptic curve algorithm,which is not only more efficient but also more suitable for IIoT-cloud environments.Finally,the security proof of SM2-KI-SIGN is given under the Elliptic Curve Discrete Logarithm(ECDL)assumption in the random oracle. 展开更多
关键词 Key-insulated SM2 algorithm digital signature Industrial Internet of Things(IIoT) provable security
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DTAIS:Distributed trusted active identity resolution systems for the Industrial Internet 认领 引用 被引量：1
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作者 Tao Huang Renchao Xie +7 位作者 Yuzheng Ren F.Richard Yu Zhuang Zou Lu Han Yunjie Liu Demin Cheng Yinan Li Tian Liu 《Digital Communications and Networks》 SCIE CSCD 2024年第4期853-862,共10页
In recent years,the Industrial Internet and Industry 4.0 came into being.With the development of modern industrial intelligent manufacturing technology,digital twins,Web3 and many other digital entity applications are... In recent years,the Industrial Internet and Industry 4.0 came into being.With the development of modern industrial intelligent manufacturing technology,digital twins,Web3 and many other digital entity applications are also proposed.These applications apply architectures such as distributed learning,resource sharing,and arithmetic trading,which make high demands on identity authentication,asset authentication,resource addressing,and service location.Therefore,an efficient,secure,and trustworthy Industrial Internet identity resolution system is needed.However,most of the traditional identity resolution systems follow DNS architecture or tree structure,which has the risk of a single point of failure and DDoS attack.And they cannot guarantee the security and privacy of digital identity,personal assets,and device information.So we consider a decentralized approach for identity management,identity authentication,and asset verification.In this paper,we propose a distributed trusted active identity resolution system based on the inter-planetary file system(IPFS)and non-fungible token(NFT),which can provide distributed identity resolution services.And we have designed the system architecture,identity service process,load balancing strategy and smart contract service.In addition,we use Jmeter to verify the performance of the system,and the results show that the system has good high concurrent performance and robustness. 展开更多
关键词 Industrial Internet NFT IPFS Trust Identity resolution system
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Industrial Internet-enabled Resilient Manufacturing Strategy in the Wake of COVID-19 Pandemic: A Conceptual Framework and Implementations in China 认领 引用 被引量：1
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作者 Tao Peng Qiqi He +2 位作者 Zheng Zhang Baicun Wang Xun Xu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2021年第3期169-174,共6页
COVID-19 pandemic has accelerated the re-shaping of globalized manufacturing industry.Achieving a high level of resilience is thereby a recognized,essential ability of future manufacturing systems with the advances in... COVID-19 pandemic has accelerated the re-shaping of globalized manufacturing industry.Achieving a high level of resilience is thereby a recognized,essential ability of future manufacturing systems with the advances in smart manufacturing and Industry 4.0.In this work,a conceptual framework for resilient manufacturing strategy enabled by Industrial Internet is proposed.It is elaborated as a four-phase,closed-loop process that centered on proactive industry assessment.Key enabling technologies for the proposed framework are outlined in data acquisition and management,big data analysis,intelligent services,and others.Industrial Internet-enabled implementations in China in response to COVID-19 have then been reviewed and discussed from 3Rs’perspective,i.e.manufacturer capacity Recovery,supply chain Resilience and emergency Response.It is suggested that an industry-specific and comprehensive selection coordinated with the guiding policy and supporting regulations should be performed at the national,at least regional level. 展开更多
关键词 Resilient manufacturing Industrial Internet COVID-19 pandemic Manufacturing strategy
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Identifier Management of Industrial Internet Based on Multi-Identifier Network Architecture 认领 引用 被引量：1
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作者 WANG Yunmin LI Hui +4 位作者 XING Kaixuan HOU Hanxu Yunghsiang SHAN LIU Ji SUN Tao 《ZTE Communications》 2020年第1期36-43,共8页
The industrial Internet realizes intelligent control and optimized operation of the industrial system through network interconnection.The industrial Internet identifier is the core element to accomplish this task.The ... The industrial Internet realizes intelligent control and optimized operation of the industrial system through network interconnection.The industrial Internet identifier is the core element to accomplish this task.The traditional industrial Internet identifier resolution technologies depend excessively on IP networks,and cannot meet the requirements of ubiquitous resource-restraint Internet of Things(IoT)devices.An industrial Internet identifier resolution management strategy based on multi-identifier network architecture is proposed in this paper,which supports content names,identities,locations,apart from the traditional IP address.The application of multiple types of identifiers not only solves the problem of IP addresses exhaustion,but also enhances the security,credibility,and availability of the industrial Internet identification resolution system.An inter-translation scheme between multiple identifiers is designed to support multiple identifiers and the standard ones.We present an addressing and routing algorithm for identifier resolution to make it convenient to put our strategy into practice. 展开更多
关键词 identifier resolution industrial Internet inter-translation multiple identifier routing and addressing
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A compatible carbon efficiency information service framework based on the industrial internet identification 认领 引用
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作者 Cheng Chi Yang Liu +3 位作者 Baoluo Ma Senchun Chai Puning Zhang Zihang Yin 《Digital Communications and Networks》 SCIE CSCD 2024年第4期884-894,共11页
Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will hel... Green and low-carbon is a new development model that seeks balance between environmental sustainability and high economic growth.If explainable and available carbon emission data can be accurately obtained,it will help policy regulators and enterprise managers to more accurately implement this development strategy.A lot of research has been carried out,but it is still a difficult problem that how to accommodate and adapt the complex carbon emission data computing models and factor libraries developed by different regions,different industries and different enterprises.Meanwhile,with the rapid development of the Industrial Internet,it has not only been used for the supply chain optimization and intelligent scheduling of the manufacturing industry,but also been used by more and more industries as an important way of digital transformation.Especially in China,the Industrial Internet identification and resolution system is becoming an important digital infrastructure to uniquely identify objects and share data.Hence,a compatible carbon efficiency information service framework based on the Industrial Internet Identification is proposed in this paper to address the problem of computing and querying multi-source heterogeneous carbon emission data.We have defined a multi cooperation carbon emission data interaction model consisting of three roles and three basic operations.Further,the implementation of the framework includes carbon emission data identification,modeling,calculation,query and sharing.The practice results show that its capability and effectiveness in improving the responsiveness,accuracy,and credibility of compatible carbon efficiency data query and sharing services. 展开更多
关键词 Industrial internet Identification and resolution Carbon emission data Carbon efficiency evaluation Carbon footprint tracking
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An Intelligent Hybrid Mutual Authentication Scheme for Industrial Internet of Thing Networks 认领 引用
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作者 Muhammad Adil Jehad Ali +6 位作者 Muhammad Sajjad Khan Junsu Kim Ryan Alturki Mohammad Zakarya Mukhtaj Khan Rahim Khan Su Min Kim 《Computers, Materials & Continua》 SCIE EI 2021年第7期447-470,共24页
Internet of Things(IoT)network used for industrial management is vulnerable to different security threats due to its unstructured deployment,and dynamic communication behavior.In literature various mechanisms addresse... Internet of Things(IoT)network used for industrial management is vulnerable to different security threats due to its unstructured deployment,and dynamic communication behavior.In literature various mechanisms addressed the security issue of Industrial IoT networks,but proper maintenance of the performance reliability is among the common challenges.In this paper,we proposed an intelligent mutual authentication scheme leveraging authentication aware node(AAN)and base station(BS)to identify routing attacks in Industrial IoT networks.The AAN and BS uses the communication parameter such as a route request(RREQ),node-ID,received signal strength(RSS),and round-trip time(RTT)information to identify malicious devices and routes in the deployed network.The feasibility of the proposed model is validated in the simulation environment,where OMNeT++was used as a simulation tool.We compare the results of the proposed model with existing field-proven schemes in terms of routing attacks detection,communication cost,latency,computational cost,and throughput.The results show that our proposed scheme surpasses the previous schemes regarding these performance parameters with the attack detection rate of 97.7%. 展开更多
关键词 Security industrial Internet of Things routing attacks routing protocols base station authentication aware nodes
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Unmanned aerial vehicles towards future Industrial Internet:Roles and opportunities 认领 引用
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作者 Linpei Li Chunlei Sun +5 位作者 Jiahao Huo Yu Su Lei Sun Yao Huang Ning Wang Haijun Zhang 《Digital Communications and Networks》 SCIE CSCD 2024年第4期873-883,共11页
Unmanned Aerial Vehicles(UAVs)are gaining increasing attention in many fields,such as military,logistics,and hazardous site mapping.Utilizing UAVs to assist communications is one of the promising applications and rese... Unmanned Aerial Vehicles(UAVs)are gaining increasing attention in many fields,such as military,logistics,and hazardous site mapping.Utilizing UAVs to assist communications is one of the promising applications and research directions.The future Industrial Internet places higher demands on communication quality.The easy deployment,dynamic mobility,and low cost of UAVs make them a viable tool for wireless communication in the Industrial Internet.Therefore,UAVs are considered as an integral part of Industry 4.0.In this article,three typical use cases of UAVs-assisted communications in Industrial Internet are first summarized.Then,the state-of-the-art technologies for drone-assisted communication in support of the Industrial Internet are presented.According to the current research,it can be assumed that UAV-assisted communication can support the future Industrial Internet to a certain extent.Finally,the potential research directions and open challenges in UAV-assisted communications in the upcoming future Industrial Internet are discussed. 展开更多
关键词 Unmanned aerial vehicles(UAVs) UAV-assisted communications Industrial Internet
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