@inproceedings { 348,
	title = {Monitoring and Diagnosing Malicious Attacks with Autonomic Software},
	journal = {28th International Conference on Conceptual Modeling (ER 2009)},
	editor = {Alberto Laender; Silvana Castano; Umeshwar Dayal; Fabio Casati; José de Oliveira},
	volume = {5829/2009},
	year = {2009},
	month = {09/11/2009},
	pages = {84-98},
	publisher = {Springer},
	organization = {Springer},
	address = {Gramado, RS, Brazil},
	abstract = {<p>Monitoring and diagnosing (M&amp;amp;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&amp;amp;D framework that uses goal models to diagnose failures in software at different levels of granularity. In this paper we extend Wang&rsquo;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.</p>},
	URL = {http://www.springerlink.com/content/t0346q5900210112/},
	author = {V. E. Silva Souza and J. Mylopoulos}
}