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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