Adversarial and uncertain reasoning for adaptive cyber defense: Building the scientific foundation

George Cybenko, Sushil Jajodia, Michael P. Wellman, Peng Liu

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

12 Scopus citations

Abstract

Today’s cyber defenses are largely static. They are governed by slow deliberative processes involving testing, security patch deployment, and humanin-the-loop monitoring. As a result, adversaries can systematically probe target networks, pre-plan their attacks, and ultimately persist for long times inside compromised networks and hosts. A new class of technologies, called Adaptive Cyber Defense (ACD), is being developed that presents adversaries with optimally changing attack surfaces and system configurations, forcing adversaries to continually re-assess and re-plan their cyber operations. Although these approaches (e.g., moving target defense, dynamic diversity, and bio-inspired defense) are promising, they assume stationary and stochastic, but nonadversarial, environments. To realize the full potential, we need to build the scientific foundations so that system resiliency and robustness in adversarial settings can be rigorously defined, quantified, measured, and extrapolated in a rigorous and reliable manner.

Original languageEnglish (US)
Title of host publicationInformation Systems Security - 10th International Conference, ICISS 2014, Proceedings
EditorsAtul Prakash, Rudrapatna Shyamasundar
PublisherSpringer Verlag
Pages1-8
Number of pages8
ISBN (Electronic)9783319138404
DOIs
StatePublished - Jan 1 2014
Event10th International Conference on Information Systems Security, ICISS 2014 - Hyderabad, India
Duration: Dec 16 2014Dec 20 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8880
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Information Systems Security, ICISS 2014
CountryIndia
CityHyderabad
Period12/16/1412/20/14

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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    Cybenko, G., Jajodia, S., Wellman, M. P., & Liu, P. (2014). Adversarial and uncertain reasoning for adaptive cyber defense: Building the scientific foundation. In A. Prakash, & R. Shyamasundar (Eds.), Information Systems Security - 10th International Conference, ICISS 2014, Proceedings (pp. 1-8). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8880). Springer Verlag. https://doi.org/10.1007/978-3-319-13841-1_1