作者: Yujing Liu , Wei Peng , Jinshu Su
DOI: 10.1002/SEC.738
关键词:
摘要: IP prefix hijacking remains a serious security threat to the traditional services in Internet. It also harms confidentiality and integrity of user data Internet-enabled cloud because its great dependence on Internet routing infrastructure. In addition, collaborations between networks environment, especially cross-domain deployment, bring about new types attack, which may cause greater impact due side-effect cooperation victim infected autonomous systems. is important understand what attack can how number locations participants affect attacking results. this paper, we model problem as an planning task solve it by applying genetic algorithm. By analyzing best solution problem, find that type victims plays more role than attackers. Attackers gain even when prefixes small are hijacked. For planning, degree system major criterion be considered. These findings useful for securing computing preventing eliminating attacks. Copyright © 2013 John Wiley & Sons, Ltd.