计算机工程与应用2017，Vol.53Issue(11)：18-25,60,9.DOI:10.3778/j.issn.1002-8331.1701-0123
基于动态贝叶斯网络的复杂网络攻击方法研究
Research of complex network node attack basded on dynamic Bayesian net-work
摘要
Abstract
The uncertain attack information and the lack of a reliable basis for command and decision-maker in the formu-lation of the attack plan in complex network attacks, lead to the effect of attacks difficult to achieve mission objectives when implementing action. For this situation, this paper presents a scientific complex network attack effect evaluation method. By analyzing income, cost of attack, loss of the attacker, attacker risks encountered network attacks, the paper establishes the corresponding index system, through DBN method for a comprehensive assessment of the effect of attacking nodes in the network, effectively overcomes the traditional node selection method relying on a single indicator of network topology, the results show that the fuzzy dynamic model synthesizes more nodes connection and informations of observed data and can overcome the static evaluation method to carry out attacks in the gap between the actual attack and theory of expectation effect while making more precision and higher performance on attack.关键词
网络攻击/动态贝叶斯网络/复杂网络/综合评估Key words
cyber attacks/dynamic Bayesian network/complex network/comprehensive assessment分类
信息技术与安全科学引用本文复制引用
刘飞飞,蔺婧娜,刘潇潇..基于动态贝叶斯网络的复杂网络攻击方法研究[J].计算机工程与应用,2017,53(11):18-25,60,9.基金项目
山西省科技厅软科学课题(No.2015041002-1). （No.2015041002-1）
