A partition matching method for optimal attack path analysis

Hui Xie, Kun Lv, Changzhen Hu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Optimal attack path planning has a significant impact on network security. According to an optimal attack path, an attacker can quickly and efficiently attack the target host. This article proposes a partition matching method (PM) to infer the optimal attack path. PM can avoid the problem of path loss and get the result quickly. PM has two steps: network partition and local path matching. The target of the network partition is to divide the network into certain parts and find out the key nodes. The local path matching aims to splice the local paths in partitioned networks into a full path. In the target network, every host has a weight matrix which includes host connect number, CVSS value and their respective priorities. A cost function is proposed to calculate evaluation values of optimal local paths and the evaluation value of full optimal attack path based on the weight matrix. Results of our experiment demonstrate the capabilities of PM which can generate an optimal attack path in one single run. The results obtained by PM show good performance and are compared with other methods.

源语言英语
主期刊名Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
编辑Jinjun Chen, Laurence T. Yang
出版商Institute of Electrical and Electronics Engineers Inc.
120-126
页数7
ISBN(电子版)9781728111414
DOI
出版状态已出版 - 2 7月 2018
活动16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018 - Melbourne, 澳大利亚
期限: 11 12月 201813 12月 2018

出版系列

姓名Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

会议

会议16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018
国家/地区澳大利亚
Melbourne
时期11/12/1813/12/18

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