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Filters: Author is Nasiriani, Neda  [Clear All Filters]
2020-05-15
Fleck, Daniel, Stavrou, Angelos, Kesidis, George, Nasiriani, Neda, Shan, Yuquan, Konstantopoulos, Takis.  2018.  Moving-Target Defense Against Botnet Reconnaissance and an Adversarial Coupon-Collection Model. 2018 IEEE Conference on Dependable and Secure Computing (DSC). :1—8.

We consider a cloud based multiserver system consisting of a set of replica application servers behind a set of proxy (indirection) servers which interact directly with clients over the Internet. We study a proactive moving-target defense to thwart a DDoS attacker's reconnaissance phase and consequently reduce the attack's impact. The defense is effectively a moving-target (motag) technique in which the proxies dynamically change. The system is evaluated using an AWS prototype of HTTP redirection and by numerical evaluations of an “adversarial” coupon-collector mathematical model, the latter allowing larger-scale extrapolations.