关键词: 网络攻击, 动态贝叶斯网络, 复杂网络, 综合评估

Abstract: The uncertain attack information and the lack of a reliable basis for command and decision-maker in the formulation 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.

Key words: cyber attacks, dynamic Bayesian network, complex network, comprehensive assessment