Model-Based Vulnerability Assessment of Self-Adaptive Protection Systems

Conference paper

DOI: 10.1007/978-3-319-25017-5_41

Part of the Studies in Computational Intelligence book series (SCI, volume 616)
Cite this paper as:
Rodríguez R.J., Marrone S. (2016) Model-Based Vulnerability Assessment of Self-Adaptive Protection Systems. In: Novais P., Camacho D., Analide C., El Fallah Seghrouchni A., Badica C. (eds) Intelligent Distributed Computing IX. Studies in Computational Intelligence, vol 616. Springer, Cham

Abstract

Security mechanisms are at the base of modern computer systems, demanded to be more and more reactive to changing environments and malicious intentions. Security policies unable to change in time are destined to be exploited and thus, system security compromised. However, the ability to properly change security policies is only possible once the most effective mechanism to adopt under specific conditions is known. To accomplish this goal, we propose to build a vulnerability model of the system by means of a model-based, layered security approach, then used to quantitatively evaluate the best protection mechanism at a given time and hence, to adapt the system to changing environments. The evaluation relies on the use of a powerful, flexible formalism such as Dynamic Bayesian Networks.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.University of LeónLeonSpain
  2. 2.DiMat, Seconda Università di NapoliNapoliItaly

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