I'm really sorry to send a replicate of the announcement, but unfortunately the date in the object of the previous one was wrong. The announcement follows:

Dear all,

we are glad to announce the third appointment with the course of lectures entitled "COLISEUM - COntributed Lectures on Information Security Using Maths"
http://ricerca.mat.uniroma3.it/users/security/index.html

The lectures, held by PhD Students and Professors, focus on real problems of information security and privacy and on their interaction with mathematics.
The course is scheduled on a fortnightly basis, with a talk taking
place every two weeks, on Tuesday, at 12.00pm in lecture room 311 of the Maths Dept. of Roma Tre University
http://goo.gl/maps/GQohN

The details of the second talk follow.

Date: Tuesday November 20 2012, 12:00pm

Duration: 45 minutes approx.

Venue: Dipartimento di Matematica di Roma Tre,
       Largo San Leonardo Murialdo, 1,
       Third Floor, Lecture Room n. 311
       http://goo.gl/maps/GQohN

SPEAKER: Guillermo Suarez de Tangil (Universidad Carlos III, Madrid)

TITLE: Intrusion Alert Correlation

ABSTRACT: The widespread adoption of autonomous intrusion detection technology is overwhelming current frameworks for network security management. Modern intrusion detection systems (IDSs) and intelligent agents are the most mentioned in literature and news, although other risks such as broad attacks (e.g. very widely spread in a distributed fashion like botnets), and their consequences on incident response management cannot be overlooked. Event correlation becomes then essential. Basically, security event correlation pulls together detection, prevention and reaction tasks by means of consolidating huge amounts of event data. Providing adaptation to unknown distributed attacks is a major requirement as well as their automatic identification. This talk will motivate the main challenges regarding this issue and it will introduce a self-adaptive approach based on heuristic algorithms, which are intent on enhancing the correlation rule extraction as well as significantly reducing the intervention of operators.

SHORT BIO: Guillermo Suárez de Tangil is PhD student at the Computer Science Department of University Carlos III of Madrid. He finished is M. Sc. in Informatics Technology by Carlos III Univ. of Madrid (Spain) with the best academic record award in 2010. He has participated in some research projects related to security and trust in Internet. Currently, he is Teaching Assistant at the Computer Security Lab of the same university and his research interests are focused in the area of automatic intrusion detection learning and event correlation, and more recently in smartphone security.


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