Imperceptible graph injection attack on graph neural networks
Complex & Intelligent Systems, 2023 In recent years, Graph Neural Networks (GNNs) have achieved excellent applications in classification or prediction tasks. Recent studies have demonstrated that GNNs are vulnerable to adversarial attacks.
Yang Chen +3 more
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A self-evolution cyber attack scheme generation system for cybersecurity evaluation [PDF]
Scientific ReportsWith the increasing complexity of network attacks, defense systems face significant challenges in maintaining cybersecurity. To effectively evaluate and optimize defense strategies, this paper proposes a self-evolution attack scenario generation system ...
Mingsheng Yang +6 more
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Attack Graph Generation Method Integrating Social Network Threats [PDF]
Jisuanji gongcheng, 2021 The existing methods for attack graph generation and analysis do not consider the threats of social network. This paper proposes a method to generate an attack graph integrating social network threats based on a knowledge graph. According to attack graph
YANG Yanli, SONG Lipeng
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Network attack knowledge inference with graph convolutional networks and convolutional 2D KG embeddings [PDF]
Scientific ReportsTo address the challenge of analyzing large-scale penetration attacks under complex multi-relational and multi-hop paths, this paper proposes a graph convolutional neural network-based attack knowledge inference method, KGConvE, aimed at intelligent ...
Weiwu Ren, Hewen Zhang, Ying Lei
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Research on network risk assessment based on attack graph of expected benefits-rate
网络与信息安全学报, 2022 As Internet applications and services become more and more extensive, the endless network attacks lead to great risks and challenges to the security of information systems.As a model-based network security risk analysis technology, attack graph is ...
Wenfu LIU +1 more
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Prediction method of 0day attack path based on cyber defense knowledge graph
网络与信息安全学报, 2022 To solve the difficulty of attack detection caused by the 0day vulnerability, a prediction method of 0day attack path based on cyber defense knowledge graph was proposed.
SUN Cheng, HU Hao, YANG Yingjie, ZHANG Hongqi
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Key path analysis method for large-scale industrial control network
网络与信息安全学报, 2021 In order to solve the problem of high time-consuming and resource-consuming quantitative calculation of large-scale industrial control network attack graphs, a key path analysis method for large-scale industrial control networks was proposed.
ZHANG Yaofang,QU Haikuo, WANG Zibo, WANG Bailing +1 more
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Graph Neural Network Defense Combined with Contrastive Learning [PDF]
Jisuanji kexue yu tansuo, 2023 Although graph neural networks have achieved good performance in the field of graph representation learning, recent studies have shown that graph neural networks are more susceptible to adversarial attacks on graph structure, namely, by adding well ...
CHEN Na, HUANG Jincheng, LI Ping
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Generation Method of Attack Graph Based on Rete Algorithm [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that the applicable network scale for existing attack graph generation methods is limited,through analysis of the shortage of the existing attack graph construction methods and the characteristics of the construction process,the ...
FAN Zihua,CHANG Chaowen,HAN Peisheng,PAN Dongcun
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Poisoning Attack on Graph Convolutional Network Based on Improved Projection Gradient Descent Algorithm [PDF]
Jisuanji gongcheng, 2022 Graph neural network is widely used in graph data processing-related tasks, such as node classification, link prediction, and community detection.However, it is susceptible to security threats from adversarial attacks.Gradient-based attack methods are ...
JIN Kejun, YU Hongtao, WU Yiteng, LI Shaomei, CAO Xiaochun
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