Monitoring and Diagnosing Malicious Attacks with Autonomic Software

Publication Type  Conference Paper
Year of Publication  2009
Authors  Souza, V.E.S.; Mylopoulos, J.
Conference Name  28th International Conference on Conceptual Modeling (ER 2009)
Series Title  LNCS
Volume  5829/2009
Pagination  84-98
Conference Start Date  09/11/2009
Publisher  Springer
Conference Location  Gramado, RS, Brazil
Editor  Alberto Laender; Silvana Castano; Umeshwar Dayal; Fabio Casati; José de Oliveira

Monitoring and diagnosing (M&D) software based on requirement models is a problem that has recently received a lot of attention in field of Requirement Engineering. In this context, Wang et al. [1] propose a M&D framework that uses goal models to diagnose failures in software at different levels of granularity. In this paper we extend Wang’s framework to monitor and diagnose malicious attacks. Our extensions include the addition of anti-goals to model attacker intentions, as well as context-based modeling of the domain within which our system operates. The extended framework has been implemented and evaluated through a series of experiments intended to test its scalability.

DOI  10.1007/978-3-642-04840-1_9
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