<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>3</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>V. E. Silva Souza</AUTHOR>
		<AUTHOR>J. Mylopoulos</AUTHOR>
	</AUTHORS>
	<YEAR>2009</YEAR>
	<TITLE>Monitoring and Diagnosing Malicious Attacks with Autonomic Software</TITLE>
	<SECONDARY_AUTHORS>
		<SECONDARY_AUTHOR>Alberto Laender</SECONDARY_AUTHOR>
		<SECONDARY_AUTHOR>Silvana Castano</SECONDARY_AUTHOR>
		<SECONDARY_AUTHOR>Umeshwar Dayal</SECONDARY_AUTHOR>
		<SECONDARY_AUTHOR>Fabio Casati</SECONDARY_AUTHOR>
		<SECONDARY_AUTHOR>José de Oliveira</SECONDARY_AUTHOR>
	</SECONDARY_AUTHORS>
	<SECONDARY_TITLE>28th International Conference on Conceptual Modeling (ER 2009)</SECONDARY_TITLE>
	<PLACE_PUBLISHED>Gramado, RS, Brazil</PLACE_PUBLISHED>
	<PUBLISHER>Springer</PUBLISHER>
	<VOLUME>5829/2009</VOLUME>
	<PAGES>84-98</PAGES>
	<TERTIARY_TITLE>LNCS</TERTIARY_TITLE>
	<DATE>09/11/2009</DATE>
	<ABSTRACT>&lt;p&gt;Monitoring and diagnosing (M&amp;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;amp;D framework that uses goal models to diagnose failures in software at different levels of granularity. In this paper we extend Wang&amp;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.&lt;/p&gt;</ABSTRACT>
	<URL>http://www.springerlink.com/content/t0346q5900210112/</URL>
</RECORD>
</RECORDS></XML>