Network defense resource optimal allocation method for advanced persistent threats

作者: Zhang Qi , Xie Haiyong , Liu Yifeng , Jiang Jinying , Yang Jian

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摘要: The invention discloses a network defense resource optimal allocation method for advanced persistent threats. comprises the following steps: modeling attack and process ofthe threats by using time-varying dynamic system theory; calculating number of prevention resources recovery needing to be allocated each node utilizing result combining geometric programming method, so that effectiveness is maximized. According when subjected APT attack, scheme can adopted defend as soon possible under condition giving certain resource, loss generated minimized, aim defending fulfilled.

参考文章(6)
Zhengzhang Chen, LuAn Tang, Guofei Jiang, Haifeng Chen, Boxiang Dong, Graph-based intrusion detection using process traces ,(2016)
Zhengzhang Chen, Guofei Jiang, Bo Zong, Hengtong Zhang, Zhichun Li, Kenji Yoshihira, LuAn Tang, Graph-based attack chain discovery in enterprise security systems ,(2017)
Shen Chucheng, Lin Kai, He Ying, Yang Yeliang, Wu Cuiyun, Dynamic Bayesian game-based advanced persistent threat (APT) attack prediction method ,(2017)
Li Qianmu, Wang Yinhai, Zhang Wenqiang, Qi Yong, NetFlow sampling processing method based on abnormity feedback ,(2017)
Yueni Zhu, Zheng Zheng, Xiaoyi Zhang, Kaiyuan Cai, Facility defense optimization decision method based on master and slave decisions ,(2012)
Chen Ye, Xu Dongjin, Tang Yuliang, Xiao Liang, Min Minghui, Reinforcement learning-based resource scheduling method for detecting advanced persistent threats ,(2017)