https://scholars.lib.ntu.edu.tw/handle/123456789/457472
標題: | Near-optimal evaluation of network survivability under multi-stage attacks | 作者: | YEONG-SUNG LIN Chen, P.-Y Chen, Q.-T. |
關鍵字: | Average Degree of Disconnectivity (Average DOD); Game Theory; Gradient Method; Network Attack and Defense; Network Survivability; Optimization; Resource Allocation | 公開日期: | 2012 | 卷: | 7345 LNAI | 起(迄)頁: | 391-399 | 來源出版物: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 摘要: | In this paper, a multi-stage attack-defense model is proposed. We consider cyber attackers and network defenders with complete understanding of the information about each other. In general, in the strategic interaction between cyber attackers and network defenders, both parties repeatedly interact with each other. These interactions should thus not be one-stage but multi-stage. From the network defenders' view, this model is used to support network operators and to predict all the likely strategies used by both cyber attacker and network defender. As a result, the Average Degree of Disconnectivity (Average DOD) is provided as a survivability metric for evaluating the residual network after malicious attacks. To solve the problem, a gradient method and game theory is adopted to find the optimal resource allocation strategies for both cyber attackers and network defenders. © 2012 Springer-Verlag. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/457472 | DOI: | 10.1007/978-3-642-31087-4_41 | SDG/關鍵字: | Average degree; Cyber attackers; Disconnectivity; Malicious attack; Multi-stage; Multi-stage attack; Network attack; Network survivability; Optimal resource allocation; Strategic interactions; Support networks; Game theory; Gradient methods; Industrial engineering; Intelligent systems; Optimization; Resource allocation; Security of data; Computer crime |
顯示於: | 資訊管理學系 |
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