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Multi-Step Detection of Simplex and Duplex Wormhole Attacks over Wireless Sensor Networks 认领 引用 被引量：1
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作者 Abrar M.Alajlan 《Computers, Materials & Continua》 SCIE EI 2022年第3期4241-4259,共19页
Detection of thewormhole attacks is a cumbersome process,particularly simplex and duplex over thewireless sensor networks(WSNs).Wormhole attacks are characterized as distributed passive attacks that can destabilize or... Detection of thewormhole attacks is a cumbersome process,particularly simplex and duplex over thewireless sensor networks(WSNs).Wormhole attacks are characterized as distributed passive attacks that can destabilize or disable WSNs.The distributed passive nature of these attacks makes them enormously challenging to detect.The main objective is to find all the possible ways in which how the wireless sensor network’s broadcasting character and transmission medium allows the attacker to interrupt network within the distributed environment.And further to detect the serious routing-disruption attack“Wormhole Attack”step by step through the different network mechanisms.In this paper,a new multi-step detection(MSD)scheme is introduced that can effectively detect the wormhole attacks for WSN.The MSD consists of three algorithms to detect and prevent the simplex and duplex wormhole attacks.Furthermore,the proposed scheme integrated five detection modules to systematically detect,recover,and isolate wormhole attacks.Simulation results conducted inOMNET++show that the proposedMSDhas lower false detection and false toleration rates.Besides,MSDcan effectively detect wormhole attacks in a completely distributed network environment,as suggested by the simulation results. 展开更多
关键词 Wireless sensor network wormhole attack node validation multi-step detection
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Generating IDS Attack Pattern Automatically Based on Attack Tree 认领 引用 被引量：4
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作者 向尕 曹元大 《Journal of Beijing Institute of Technology》 EI CAS 2003年第2期138-142,共5页
Generating attack pattern automatically based on attack tree is studied. The extending definition of attack tree is proposed. And the algorithm of generating attack tree is presented. The method of generating attack p... Generating attack pattern automatically based on attack tree is studied. The extending definition of attack tree is proposed. And the algorithm of generating attack tree is presented. The method of generating attack pattern automatically based on attack tree is shown, which is tested by concrete attack instances. The results show that the algorithm is effective and efficient. In doing so, the efficiency of generating attack pattern is improved and the attack trees can be reused. 展开更多
关键词 attack tree attack pattern IDS (intrusion detection system)
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Generating Adversarial Patterns in Facial Recognition with Visual Camouflage 认领 引用
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作者 BAO Qirui MEI Haiyang +3 位作者 WEI Huilin LU Zheng WANG Yuxin YANG Xin 《Journal of Shanghai Jiaotong university(Science)》 EI 2025年第5期911-922,共12页
Deep neural networks,especially face recognition models,have been shown to be vulnerable to adversarial examples.However,existing attack methods for face recognition systems either cannot attack black-box models,are n... Deep neural networks,especially face recognition models,have been shown to be vulnerable to adversarial examples.However,existing attack methods for face recognition systems either cannot attack black-box models,are not universal,have cumbersome deployment processes,or lack camouflage and are easily detected by the human eye.In this paper,we propose an adversarial pattern generation method for face recognition and achieve universal black-box attacks by pasting the pattern on the frame of goggles.To achieve visual camouflage,we use a generative adversarial network(GAN).The scale of the generative network of GAN is increased to balance the performance conflict between concealment and adversarial behavior,the perceptual loss function based on VGG19 is used to constrain the color style and enhance GAN’s learning ability,and the fine-grained meta-learning adversarial attack strategy is used to carry out black-box attacks.Sufficient visualization results demonstrate that compared with existing methods,the proposed method can generate samples with camouflage and adversarial characteristics.Meanwhile,extensive quantitative experiments show that the generated samples have a high attack success rate against black-box models. 展开更多
关键词 face recognition adversarial attacks black-box attack camouflage pattern
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A Graphical User Authentication with Compass Direction and Rotation-Based Dual-Derivation 认领 引用
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作者 Chin Soon Ku Hui Yi Lim +5 位作者 Ana Nabilah Binti Sa’uadi Siew Cheng Lai Jit Theam Lim Pei Xuan Ku Zeng-Wei Hong Lip Yee Por 《Computers, Materials & Continua》 SCIE EI 2026年第9期1280-1296,共17页
In the expanding Internet of Things(IoT)ecosystem,billions of interconnected devices exchange sensitive data,making secure and usable authentication critical.IoT devices in public or shared environments are vulnerable... In the expanding Internet of Things(IoT)ecosystem,billions of interconnected devices exchange sensitive data,making secure and usable authentication critical.IoT devices in public or shared environments are vulnerable to shoulder-surfing and video recorded observation attacks.Traditional passwords and static graphical schemes remain susceptible due to predictable patterns and direct credential entry.This study presents a novel recognition-based graphical authentication scheme that combines pass-image selection with compass direction substitution and rotation logic to resist observation-based attacks.A prototype was evaluated with 58 participants over three days.Usability metrics included registration time,login time,success rate,and error rate.Memorability and resistance to shoulder-surfing were also assessed.Results showed that login times decreased from 43.62 to 37.78 s,while success rates increased from 40%to 53%,indicating rapid adaptation.Memorability scores improved from 2.05 to 2.19 on a 3-point scale,with perfect recall for five-image passwords by Day 3.Shoulder-surfing tests recorded a 0%attacker success rate.The preliminary results suggest that the scheme offers a useful balance of usability,memorability,and resistance to single session observation attacks.Future work will explore adaptive complexity and accessibility features to further enhance secure authentication. 展开更多
关键词 Graphical user authentication compass direction rotation pattern dual-derivation shoulder-surfing attack video recording attack
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基于图表示学习的APT狩猎 认领 引用
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作者 刘伎昭 王浩荡 +2 位作者 单芳芳 李军 张书钦 《计算机工程与设计》 北大核心 2026年第7期2008-2016,共9页
现有图表示学习方法在APT威胁狩猎中过度依赖具体属性值(如IP地址),且图级表示忽略节点间细粒度信息。文中将APT威胁狩猎形式化为溯源图与查询图的相似性搜索问题,提出基于图神经网络的攻击模式表示学习模型GRNEAPT。该模型通过学习抽... 现有图表示学习方法在APT威胁狩猎中过度依赖具体属性值(如IP地址),且图级表示忽略节点间细粒度信息。文中将APT威胁狩猎形式化为溯源图与查询图的相似性搜索问题,提出基于图神经网络的攻击模式表示学习模型GRNEAPT。该模型通过学习抽象攻击模式而非具体属性值,提升了泛化能力;设计成对节点比较方法补充图级嵌入,捕获节点特征分布、重要子结构和局部结构差异等细粒度信息,克服了单纯图级表示的局限性。在DARPA TC3和DARPA OpTC公开数据集的实验结果表明,GRNE-APT在精确度上较传统模型提升30%,在图相似性度量上表现出色。 展开更多
关键词 APT狩猎 图表示学习 图神经网络 抽象模式 图相似性搜索 攻击模式 节点比较
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Control of Asymmetric Flow Fields of Slender Bodies at High Angle of Attack 认领 引用 被引量：7
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作者 明晓 顾蕴松 《Chinese Journal of Aeronautics》 EI CAS 2006年第2期168-174,共7页
The wind tunnel experiments is conducted to get inspiration for understanding the mechanism of the asymmetric flow pattern and developing an innovative flow control technique for a slender body at high angle of attack... The wind tunnel experiments is conducted to get inspiration for understanding the mechanism of the asymmetric flow pattern and developing an innovative flow control technique for a slender body at high angle of attack. The bi-stable situation of the side forces is observed, which could be easily switched by a tiny disturbances either from coming flow or from artificial disturbances at nose tip （including manufacturing defect）. In turbulent flows the side forces switched randomly between positive and negative. There exists a hysteresis loop of side force with the rolling angle. A rod in front of the slender body is used to change the vortex pattern, which could be kept even the rod is moved out from the stream. A miniature strake attached to the nose tip of the model can be moved to different circumferential position. When the strake is stationary, the hysteresis loop disappears and the side force does not change with the turbulent fluctuation of coming flow. The results from dynamic measurements of section side force indicates that when the strake swung at lower frequency the side force can follow the cadence of the swinging strake. With increasing frequency, the magnitude of the side force decreases. At still high frequency, the side force diminishes to zero. If the strake is swinging, while the middle position can be changed to different circumferential angle Фs on either left or right side, the side forces can be changed proportionally with the angle Фs. On the basis of the experimental results, the mechanism of the asymmetry is discussed. 展开更多
关键词 high angle of attack asymmetric vortex pattern flow control
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基于高交互蜜罐的高级持续性威胁(APT)攻击链捕获与行为模式研究 认领 引用
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作者 刘欣 《软件》 2026年第4期184-186,共3页
高交互蜜罐作为主动防御技术,可模拟真实网络环境,吸引APT深度交互,完整捕获攻击链并记录行为数据。本文分析APT特征及传统防御局限,明确了高交互蜜罐的核心优势;构建APT攻击链捕获机制,通过网络/系统/应用层多维度采集数据并关联,依托... 高交互蜜罐作为主动防御技术,可模拟真实网络环境,吸引APT深度交互,完整捕获攻击链并记录行为数据。本文分析APT特征及传统防御局限,明确了高交互蜜罐的核心优势;构建APT攻击链捕获机制,通过网络/系统/应用层多维度采集数据并关联,依托规则库实现了攻击阶段映射与链路还原;提炼APT攻击者在侦察、获权等阶段的共性行为模式,识别攻击组织的目标、工具、周期差异化特征。研究旨在为APT威胁狩猎、防御策略制定提供理论与技术支撑。 展开更多
关键词 高交互蜜罐 高级持续性威胁(APT) APT攻击链 攻击行为模式 主动防御
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Vibration-Based Pattern Password Approach for Visually Impaired People 认领 引用
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作者 Suliman A.Alsuhibany 《Computer Systems Science & Engineering》 SCIE EI 2022年第1期341-356,共16页
The pattern password method is amongst the most attractive authentication methods and involves drawing a pattern;this is seen as easier than typing a password.However,since people with visual impairments have been inc... The pattern password method is amongst the most attractive authentication methods and involves drawing a pattern;this is seen as easier than typing a password.However,since people with visual impairments have been increasing their usage of smart devices,this method is inaccessible for them as it requires them to select points on the touch screen.Therefore,this paper exploits the haptic technology by introducing a vibration-based pattern password approach in which the vibration feedback plays an important role.This approach allows visually impaired people to use a pattern password through two developed vibration feedback:pulses,which are counted by the user,and duration,which has to be estimated by the user.In order to make the proposed approach capable to prevent shoulder-surfing attacks,a camouflage pattern approach is applied.An experimental study is conducted to evaluate the proposed approach,the results of which show that the vibration pulses feedback is usable and resistant to shoulder-surfing attacks. 展开更多
关键词 Information security authentication vibration-based pattern password visually impaired people shoulder-surfing attacks
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Advancing membership inference attacks:The present and the future 认领 引用 被引量：1
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作者 Zheng Li Yang Zhang 《Security and Safety》 CSCD 2025年第1期6-9,共4页
1 Introduction Machine Learning(ML)has made significant progress in various tasks.This success is driven by powerful computational resources,expert experience,and,crucially,large-scale data.High-performance ML models ... 1 Introduction Machine Learning(ML)has made significant progress in various tasks.This success is driven by powerful computational resources,expert experience,and,crucially,large-scale data.High-performance ML models typically require millions or even billions of samples.Training on such extensive datasets allows algorithms to capture complex patterns and improve generalization.Thus,large-scale data is essential for developing advanced ML models,driving the impressive advancements and implementations in the field today. 展开更多
关键词 machine learning capture complex patterns developing advanced ml modelsdriving large scale data generalization advancing membership inference attacks computational resources machine learning ml
A Behavior-based Buffer Overflow Attack Blocker 认领 引用
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作者 ZHANG Li-yuan Jin Li 《电脑知识与技术》 2010年第4期2544-2549,共6页
A common way to gain control of victim hosts is to launch buffer overflow attacks by remote exploits.This paper proposes a behavior-based buffer overflow attacker blocker,which can dynamically detect and prevent remot... A common way to gain control of victim hosts is to launch buffer overflow attacks by remote exploits.This paper proposes a behavior-based buffer overflow attacker blocker,which can dynamically detect and prevent remote buffer overflow attacks by filtering out the client requests that contain malicious executable codes.An important advantage of this approach is that it can block the attack before the exploit code begins affecting the target program.The blocker is composed of three major components,packet decoder,disassembler,and behavior-based detection engine.It decodes the network packets,extract possible instruction sequences from the payload,and analyzes whether they contain attack behaviors.Since this blocker based its effectiveness on the commonest behavior patterns of buffer overflow shellcode,it is expected to detect not only existing attacks but also zero-day attacks.Moreover,it has the capability of detecting attack-size obfuscation. 展开更多
关键词 cyber security buffer overflow attack dynamic prevention and detection, shellcode behavior pattern
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Data Mining Based Cyber-Attack Detection 认领 引用
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作者 TIANFIELD Huaglory 《系统仿真技术》 2017年第2期90-104,共15页
Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First,a data driven defence framework is presented in terms of cyber secur... Detecting cyber-attacks undoubtedly has become a big data problem. This paper presents a tutorial on data mining based cyber-attack detection. First,a data driven defence framework is presented in terms of cyber security situational awareness. Then, the process of data mining based cyber-attack detection is discussed. Next,a multi-loop learning architecture is presented for data mining based cyber-attack detection. Finally,common data mining techniques for cyber-attack detection are discussed. 展开更多
关键词 big data analytics cyber-attack detection cyber security cyber situational awareness data mining pattern mining machine learning
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基于经筋理论的滚蛋疗法对急性风寒型Bell麻痹患者的应用效果 认领 引用
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作者 金婕 吕婵 +5 位作者 杨甜甜 卢建政 银星凤 蒋圆圆 梁珊珊 李芯睿 《护理学报》 CSCD 2025年第22期73-78,共6页
目的探讨基于经筋理论的滚蛋疗法对急性风寒型Bell麻痹患者的应用效果。方法便利选取2023年4月—2025年3月在广西壮族自治区某三级甲等医院脑病科住院的急性风寒型Bell麻痹患者108例为研究对象,随机分为对照组(常规护理组)、试验1组(常... 目的探讨基于经筋理论的滚蛋疗法对急性风寒型Bell麻痹患者的应用效果。方法便利选取2023年4月—2025年3月在广西壮族自治区某三级甲等医院脑病科住院的急性风寒型Bell麻痹患者108例为研究对象,随机分为对照组(常规护理组)、试验1组(常规护理+传统滚蛋疗法组)、试验2组(常规护理+基于经筋理论的滚蛋疗法组),每组各36例。于干预前、干预第7天末、干预第14天末分别采用House-Brackmann(H-B)分级量表、面部残疾指数及中医症状积分评价应用效果。结果干预前,3组急性风寒型Bell麻痹患者H-B、面部残疾指数的躯体功能评分、社会生活功能评分及中医症状积分比较,差异均无统计学意义(P>0.05);干预第7天末及干预第14天末,试验1组及试验2组的H-B、中医症状评分及社会生活功能评分均低于对照组(P<0.05),躯体功能评分均高于对照组(P<0.01);且试验2组H-B及中医症状评分均低于试验1组(P<0.05);躯体功能评分高于试验1组,社会生活功能评分则低于试验1组(P<0.01)。结论传统滚蛋疗法能有效促进急性风寒型Bell麻痹患者面神经修复,改善面瘫症状,而基于经筋理论的滚蛋疗法通过面部及肢体经筋干预,可进一步增强急性风寒型Bell麻痹患者面神经功能康复及生活质量,效果优于传统滚蛋疗法及常规护理。 展开更多
关键词 滚蛋疗法 经筋理论 Bell麻痹 风寒袭络证
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针对KASLR绕过的脆弱性指令挖掘 认领 引用
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作者 李周阳 邱朋飞 +2 位作者 卿昱 王春露 汪东升 《电子与信息学报》 EI CAS CSCD 北大核心 2025年第9期3241-3251,共11页
现代操作系统采用内核地址空间随机化(KASLR)技术来抵御内核代码重用攻击。处理器微架构侧信道能够泄露内核代码段的页表信息,进而可以被用来绕过KASLR保护,但是现有研究局限于MOV, CMASKMOV,PREFETCHNTA和CLDEMOTE等少数的几条指令来... 现代操作系统采用内核地址空间随机化(KASLR)技术来抵御内核代码重用攻击。处理器微架构侧信道能够泄露内核代码段的页表信息,进而可以被用来绕过KASLR保护,但是现有研究局限于MOV, CMASKMOV,PREFETCHNTA和CLDEMOTE等少数的几条指令来探测内核地址,攻击面有限。为系统评估KASLR攻击面,该文从指令多样性出发,设计一个自动化分析框架,挖掘可以绕过KASLR保护并暴露计算机系统安全脆弱性的指令。该框架不需要逆向微架构部件的实现细节,专注于攻击任务本身,首先将攻击流程抽象为环境准备、内存探测、微架构信息记录和差分分析4个阶段,然后定位绕过KASLR保护的关键攻击代码,最后研究不同指令在替换关键代码后的攻击效果。该文分别从指令的汇编形式和字节形式出发提出两套KASLR攻击面的评估算法,互相验证和补充。实验结果表明,该文在Intel x86指令集挖掘出699条可实现KASLR绕过的汇编指令,相比现有研究依赖的6条指令,实现了KASLR脆弱性指令的跨数量级增长。此外,从字节形式出发的实验数据表明,Intel x86指令集有39个单字节操作码、121个双字节操作码和24个3字节操作码指令可以实现KASLR绕过。该文的发现不仅显著扩展了KASLR的攻击面,更为基于特征检测的防御机制带来挑战和新思路。 展开更多
关键词 硬件安全 微架构侧信道攻击 脆弱性指令 内核地址空间随机化
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胃苏颗粒联合兰索拉唑治疗慢性糜烂性胃炎患者的临床评价 认领 引用
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作者 胡孔翠 陆正荣 李福祥 《中国药物应用与监测》 CAS 2025年第8期1397-1400,共4页
目的探究胃苏颗粒联合兰索拉唑治疗慢性糜烂性胃炎(肝气犯胃证)的临床疗效和安全性。方法选取南京市浦口人民医院2023年5月至2025年6月收治的104例慢性糜烂性胃炎患者,采用随机数字表法将其分为观察组(52例,胃苏颗粒联合兰索拉唑治疗)... 目的探究胃苏颗粒联合兰索拉唑治疗慢性糜烂性胃炎(肝气犯胃证)的临床疗效和安全性。方法选取南京市浦口人民医院2023年5月至2025年6月收治的104例慢性糜烂性胃炎患者,采用随机数字表法将其分为观察组(52例,胃苏颗粒联合兰索拉唑治疗)与对照组(52例,兰索拉唑治疗),均连续用药4周。比较两组患者的临床疗效、治疗前后前列腺素E2和丙二醛水平、临床症状消失时间和不良反应发生率。结果治疗有效率观察组[90.38%(47/52)]高于对照组[75.00%(39/52)](χ2=4.300,P<0.05)。治疗后,前列腺素E2水平观察组[(5.34±1.16)pg/mL]高于对照组[(3.25±0.76)pg/mL],丙二醛水平观察组[(1.45±0.27)μmol/L]低于对照组[(2.15±0.88)μmol/L](t=10.868,5.484,均P<0.05)。反酸消失时间、嗳气消失时间、腹部疼痛消失时间观察组[分别为(9.86±2.55)d、(6.55±1.57)d、(10.28±2.79)d]均短于对照组[分别为(12.57±3.18)d、(8.84±1.97)d、(12.86±3.05)d](t=4.794,6.555,2.756,均P<0.05)。观察组与对照组的不良反应发生率分别为9.62%(5/52)和13.46%(7/52),差异无统计学意义(χ2=0.377,P=0.539)。结论胃苏颗粒联合兰索拉唑治疗慢性糜烂性胃炎(肝气犯胃证)疗效佳,可有效改善患者的临床症状,且安全性较高。 展开更多
关键词 胃苏颗粒 兰索拉唑 慢性糜烂性胃炎 肝气犯胃证 疗效
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基于对抗性机器学习的网络欺骗攻击模式辨识研究 认领 引用 被引量：1
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作者 杨鹏 郭思莹 《现代电子技术》 北大核心 2025年第5期86-90,共5页
为精准、自动辨识网络欺骗攻击模式,提升网络传输安全性,提出基于对抗性机器学习的网络欺骗攻击模式辨识方法。该方法提取可描述网络流量的行为模式、分布状况以及流量间相互关系的网络流表特征集,将其输入生成对抗网络中进行训练,构建... 为精准、自动辨识网络欺骗攻击模式,提升网络传输安全性,提出基于对抗性机器学习的网络欺骗攻击模式辨识方法。该方法提取可描述网络流量的行为模式、分布状况以及流量间相互关系的网络流表特征集,将其输入生成对抗网络中进行训练,构建网络欺骗攻击模式辨识模型;生成器在损失函数的指导下生成接近真实样本的数据集,再将其输入判别器中;判别器采用多层结构设计,将各个判别器的输出结果进行整合后获取其平均值作为最后的判断依据,结合权重矩阵对该结果进行投票,输出网络欺骗攻击模式辨识结果。测试结果显示,该方法能够可靠提取网络流表特征,各个网络欺骗攻击类别的平均绝对误差百分比结果均在0.014 0以下,最小结果仅为0.005 8,效果良好。 展开更多
关键词 对抗性机器学习 网络欺骗 攻击模式辨识 生成器 判别器 网络流表特征
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咳喘合剂辅助治疗儿童支气管哮喘急性发作期热哮证30例临床观察 认领 引用 被引量：1
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作者 沈丹 沈东霞 +1 位作者 樊雅丽 林隆 《中医儿科杂志》 2025年第4期50-55,共6页
目的观察咳喘合剂辅助治疗儿童支气管哮喘(BA)急性发作期热哮证的临床疗效,并探讨其对2型固有淋巴样细胞(ILC2)、Th1/Th2细胞因子的影响。方法选取2023年1月至2024年1月在浙江省中西医结合医院儿科确诊为BA急性发作期热哮证患儿60例,采... 目的观察咳喘合剂辅助治疗儿童支气管哮喘(BA)急性发作期热哮证的临床疗效,并探讨其对2型固有淋巴样细胞(ILC2)、Th1/Th2细胞因子的影响。方法选取2023年1月至2024年1月在浙江省中西医结合医院儿科确诊为BA急性发作期热哮证患儿60例,采用随机数字表法分为对照组和治疗组,各30例。对照组给予吸入用布地奈德雾化剂治疗,治疗组在对照组治疗方法的基础上联合咳喘合剂治疗,2组均连续治疗7 d后统计临床疗效,并比较治疗前后肺功能用力肺活量(FVC)、第1秒用力呼气容积(FEV1)、第1秒用力呼气率(FEV1/FVC)水平变化、痰液炎症细胞数目、外周血ILC2水平、痰液细胞因子白细胞介素(IL)-4、IL-5、IL-13、IL-33、γ-干扰素(IFN-γ)水平,并对细胞因子与ILC2水平进行相关性分析。结果治疗组总有效率为90.00%(27/30),显著高于对照组的86.67%(26/30),2组比较,差异有统计学意义(P0.05),具有可比性;治疗后2组上述指标值水平均显著升高,与同组治疗前比较,差异有统计学意义(P0.05),具有可比性;治疗后2组巨噬细胞、嗜酸性粒细胞数目显著下降(P0.05),具有可比性;治疗后2组IL-4、IL-5、IL-13、IL-33水平均显著降低(P0.05),具有可比性;治疗后2组ILC2水平均显著下降,与同组治疗前比较,差异有统计学意义(P<0.01),且治疗组下降更显著(P<0.01)。2组痰液Th2细胞因子IL-4、IL-5、IL-13水平的降低与外周血ILC2具有强相关性(P<0.01)。结论咳喘合剂可提高儿童BA急性发作期热哮证的临床疗效,改善患儿肺功能指标,减轻炎症反应,作用机制可能与其能够通过抑制ILC2细胞激活、降低Th2型细胞因子IL-4、IL-5、IL-13水平、升高Th1型细胞因子IFN-γ水平、纠正Th1/Th2细胞因子失衡相关。 展开更多
关键词 支气管哮喘 儿童 急性发作期 热哮证 咳喘合剂 临床观察
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隐藏共现模式的可搜索对称加密方案 认领 引用
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作者 何丽梅 《软件导刊》 2025年第4期123-129,共7页
可搜索对称加密(SSE)是一种在大数据和云计算环境下解决数据安全与隐私保护问题的关键技术,其允许用户在不解密的情况下对加密数据进行安全查询。大多数现有的SSE方案为保证方案的高效性会泄露访问模式,访问模式泄露了查询令牌与被匹配... 可搜索对称加密(SSE)是一种在大数据和云计算环境下解决数据安全与隐私保护问题的关键技术,其允许用户在不解密的情况下对加密数据进行安全查询。大多数现有的SSE方案为保证方案的高效性会泄露访问模式,访问模式泄露了查询令牌与被匹配文档之间的关系,进而会揭露共现模式。共现模式为每一对关键字在一个文档集中出现概率所组成的概率矩阵,其是IKK攻击这一类推理攻击的基础。因此,共现模式的泄漏已经严重威胁到加密数据安全。针对这一问题,提出一种隐藏共现模式的文档填充算法,并基于该算法设计了可有效隐藏共现模式的可搜索对称加密方案。安全性分析表明,该方案是安全且有效的,同时基于真实数据集进行的实验结果也表明该方案能够有效防止共现模式泄漏。 展开更多
关键词 可搜索对称加密 访问模式 共现模式 IKK攻击 推理攻击
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大规模网络中攻击图自动构建算法研究 认领 引用 被引量：28
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作者 叶云 徐锡山 +1 位作者 齐治昌 吴雪阳 《计算机研究与发展》 EI CSCD 北大核心 2013年第10期2133-2139,共7页
随着计算机技术和网络通信技术的飞速发展,网络安全形势日趋严峻.攻击者往往采取多步骤网络攻击的方式对网内多个漏洞实施逐步击破,而攻击图正好刻画了目标网络内潜在威胁的传播路径.针对目前攻击图构建算法无法很好地适用于大规模目标... 随着计算机技术和网络通信技术的飞速发展,网络安全形势日趋严峻.攻击者往往采取多步骤网络攻击的方式对网内多个漏洞实施逐步击破,而攻击图正好刻画了目标网络内潜在威胁的传播路径.针对目前攻击图构建算法无法很好地适用于大规模目标网络的问题,通过深入分析传统攻击图构建算法的不足和目标环境的特点,提出了一种新的构建攻击图的方法.首先,采用攻击图建模语言(Attack Graphs Modeling Language,AGML)形式化描述漏洞知识库和目标环境;其次,提出了目标环境的预处理技术,为目标环境中的属性建立索引,然后利用攻击模式的实例化技术构建攻击图.通过对该算法的时间复杂度分析和模拟实验验证,表明该算法具有良好的可扩展性,能够为具有复杂网络拓扑结构的大规模目标网络自动构建攻击图. 展开更多
关键词 网络安全 漏洞 攻击图 攻击模式 攻击图自动构建
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Abnormal Event Correlation and Detection Based on Network Big Data Analysis 认领 引用 被引量：2
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作者 Zhichao Hu Xiangzhan Yu +1 位作者 Jiantao Shi Lin Ye 《Computers, Materials & Continua》 SCIE EI 2021年第10期695-711,共17页
With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack p... With the continuous development of network technology,various large-scale cyber-attacks continue to emerge.These attacks pose a severe threat to the security of systems,networks,and data.Therefore,how to mine attack patterns from massive data and detect attacks are urgent problems.In this paper,an approach for attack mining and detection is proposed that performs tasks of alarm correlation,false-positive elimination,attack mining,and attack prediction.Based on the idea of CluStream,the proposed approach implements a flow clustering method and a two-step algorithm that guarantees efficient streaming and clustering.The context of an alarm in the attack chain is analyzed and the LightGBM method is used to perform falsepositive recognition with high accuracy.To accelerate the search for the filtered alarm sequence data to mine attack patterns,the PrefixSpan algorithm is also updated in the store strategy.The updated PrefixSpan increases the processing efficiency and achieves a better result than the original one in experiments.With Bayesian theory,the transition probability for the sequence pattern string is calculated and the alarm transition probability table constructed to draw the attack graph.Finally,a long-short-term memory network and embedding word-vector method are used to perform online prediction.Results of numerical experiments show that the method proposed in this paper has a strong practical value for attack detection and prediction. 展开更多
关键词 Attack scene false positive alarm correlation sequence mining multi-step attack
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Online Pattern Recognition and Data Correction of PMU Data Under GPS Spoofing Attack 认领 引用 被引量：6
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作者 Ancheng Xue Feiyang Xu +3 位作者 Jingsong Xu Joe H.Chow Shuang Leng Tianshu Bi 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2020年第6期1240-1249,共10页
Smart grids are increasingly dependent on data with the rapid development of communication and measurement.As one of the important data sources of smart grids,phasor measurement unit(PMU)is facing the high risk from a... Smart grids are increasingly dependent on data with the rapid development of communication and measurement.As one of the important data sources of smart grids,phasor measurement unit(PMU)is facing the high risk from attacks.Compared with cyber attacks,global position system(GPS)spoofing attacks(GSAs)are easier to implement because they can be exploited by portable devices,without the need to access the physical system.Therefore,this paper proposes a novel method for pattern recognition of GSA and an additional function of the proposed method is the data correction to the phase angle difference(PAD)deviation.Specifically,this paper analyzes the effect of GSA on PMU measurement and gives two common patterns of GSA,i.e.,the step attack and the ramp attack.Then,the method of estimating the PAD deviation across a transmission line introduced by GSA is proposed,which does not require the line parameters.After obtaining the estimated PAD deviations,the pattern of GSA can be recognized by hypothesis tests and correlation coefficients according to the statistical characteristics of the estimated PAD deviations.Finally,with the case studies,the effectiveness of the proposed method is demonstrated,and the success rate of the pattern recognition and the online performance of the proposed method are analyzed. 展开更多
关键词 global position system(GPS) GPS spoofing attack(GSA),phasor measurement,pattern recognition,data correction,line parameter
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