Moving-Target Defense Against Botnet Reconnaissance and an Adversarial Coupon-Collection Model

Daniel Fleck, Angelos Stavrou, George Kesidis, Neda Nasiriani, Yuquan Shan, Takis Konstantopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationDSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538657904
DOIs
StatePublished - Jan 23 2019
Event2018 IEEE Conference on Dependable and Secure Computing, DSC 2018 - Kaohsiung, Taiwan, Province of China
Duration: Dec 10 2018Dec 13 2018

Publication series

NameDSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing

Conference

Conference2018 IEEE Conference on Dependable and Secure Computing, DSC 2018
CountryTaiwan, Province of China
CityKaohsiung
Period12/10/1812/13/18

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Software
  • Computer Networks and Communications

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    Fleck, D., Stavrou, A., Kesidis, G., Nasiriani, N., Shan, Y., & Konstantopoulos, T. (2019). Moving-Target Defense Against Botnet Reconnaissance and an Adversarial Coupon-Collection Model. In DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing [8625162] (DSC 2018 - 2018 IEEE Conference on Dependable and Secure Computing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DESEC.2018.8625162