Results 1 to 10 of about 3,091 (218)

Detecting new generations of threats using attribute‐based attack graphs

IET Information Security, 2019
In recent years, the increase in cyber threats has raised many concerns about security and privacy in the digital world. However, new attack methods are often limited to a few core techniques. Here, in order to detect new threat patterns, the authors use an attack graph structure to model unprecedented network traffic. This graph for the unknown attack
Mehdi Kargahi, Mehran Alidoost Nia, Benjamin Fabian   +2 more
exaly   +2 more sources

Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. [PDF]

PLoS ONE
The current approach to data access control predominantly utilizes blockchain technology. However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy ...
Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang   +3 more
doaj   +2 more sources

Graph Embedding for Recommendation against Attribute Inference Attacks [PDF]

Proceedings of the Web Conference 2021, 2021
In recent years, recommender systems play a pivotal role in helping users identify the most suitable items that satisfy personal preferences. As user-item interactions can be naturally modelled as graph-structured data, variants of graph convolutional networks (GCNs) have become a well-established building block in the latest recommenders.
Shijie Zhang, Hongzhi Yin, Tong Chen 0005, Zi Huang, Lizhen Cui, Xiangliang Zhang 0001   +5 more
openaire   +4 more sources

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, Jianmin PANG, Xin ZHOU, Nan LI, Feng YUE   +1 more
doaj   +3 more sources

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods [PDF]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Despite the widespread use of Knowledge Graph Embeddings (KGE), little is known about the security vulnerabilities that might disrupt their intended behaviour. We study data poisoning attacks against KGE models for link prediction. These attacks craft adversarial additions or deletions at training time to cause model failure at test time.
Peru Bhardwaj, John D. Kelleher, Luca Costabello, Declan O'Sullivan   +3 more
openaire   +2 more sources

Portrait Analysis of Threat Intelligence for Attack Recognition [PDF]

Jisuanji gongcheng, 2020
New network attacks are getting more covert and persistent with a high proliferation,resulting in a sudden increase in the difficulty of attack recognition and detection.
YANG Peian, LIU Baoxu, DU Xiangyu
doaj   +1 more source

Research on Attack Path Prediction Based on PANAG Model [PDF]

Jisuanji gongcheng, 2020
In order to accurately predict network attack paths,this paper proposes an attack path prediction method based on Probabilistic Attribute Network Attack Graph(PANAG).The method uses the common vulnerability scoring system to analyze the vulnerability ...
WANG Hui, ZHAO Ya, ZHANG Juan, LIU Kun
doaj   +1 more source

Privacy Protection Method in Continuous Publishing of Graph Data [PDF]

Jisuanji gongcheng, 2022
With the development of Internet technology and popularity of intelligent terminals, a large amount of user privacy data have been generated in social networks.The public release of social network data increases the risk of user privacy disclosure ...
ZHU Liming, DING Xiaobo, GONG Guoqiang
doaj   +1 more source

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
doaj   +1 more source

Research on Network Security Quantitative Model Based on Probabilistic Attack Graph [PDF]

ITM Web of Conferences, 2019
In order to identify the threat of computer network security and evaluate its fragility comprehensively, the related factors of network security are studied, and the methods based on attack graph are improved.
Cui Yimin, Li Junmei, Zhao Wei, Luan Cheng   +3 more
doaj   +1 more source