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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xupeng Fang Lidong Zhai Zhaopeng Jia Wenyan Bai |
| Copyright Year | 2014 |
| Description | Author affiliation: Inst. of Inf. Eng., Beijing, China (Lidong Zhai) || Beijing Univ. of Posts & Telecommun., Beijing, China (Xupeng Fang; Zhaopeng Jia; Wenyan Bai) |
| Abstract | As a major threat today, how to defense against APT (advanced persistent attack) effectively becomes a major issue for network security. APT is a combination of past attacks, not a new one. It's different from any one of previous attacks. Predicting the attack path of APT exactly would be a breakthrough for the future defense in Internet of things. Firstly, the paper proposes classifications of attack and defense for game model from the perspective of game theory. Then, we present the OAPG model, which uses attack path of APT as the attacker's strategy. Finally, according to the Nash equilibrium, we compute the optimal attack path for the attacker and best-response strategies for the defender. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 491 |
| Ending Page | 495 |
| File Size | 344923 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479950799 |
| DOI | 10.1109/DASC.2014.94 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Internet of things Correlation Computational modeling game model Games Buffer overflows attack path Predictive models Telecommunications Servers strategy |
| Content Type | Text |
| Resource Type | Article |
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