Difference between revisions of "EUTour2013 Belgium Agenda"

Revision as of 19:19, 6 May 2013


	OWASP EUROPE TOUR 2013 Tour Home Page Tour Scheadule Tour Organizers Resources Mailing List

CONFERENCE AND TRAINING
OWASP Europe Tour - Belgium 2013 Thursday 6th June (Conference) '
DESCRIPTION
OWASP Europe TOUR, is an event across the European region that promotes awareness about application security, so that people and organizations can make informed decisions about true application security risks. Everyone is free to participate in OWASP and all of our materials are available under a free and open software license. Apart from OWASP's Top 10, most OWASP Projects are not widely used and understood. In most cases this is not due to lack of quality and usefulness of those Document & Tool projects, but due to a lack of understanding of where they fit in an Enterprise's security ecosystem or in the Web Application Development Life-cycle. This event aims to change that by providing a selection of mature and enterprise ready projects together with practical examples of how to use them.
OWASP MEMBERSHIP
During the OWASP Europe Tour you could become a member and support our mission. Become an OWASP member by clicking here

CONFERENCE (Monday 13th May)
Fecha	Lugar
Thursday 6th June	Venue Location: University of Leuven Venue Address: Department of Computer Science Celestijnenlaan 200 A 3001 Heverlee Venue Map: google maps
Price and registration
This event is FREE Registration Link to the Europe Tour - Belgium: REGISTER HERE!

Conference Details
Time	Title	Speaker	Description
18:00 (30 mins)	Registration
18:30 (45 mins)	Vulnerability Prediction in Android Applications	Aram Hovsepyan, Ph. D.	We present an approach to predict which components of a software system contain security vulnerabilities. Prediction models are a key instrument to identify the weak spots that deserve special scrutiny. Our approach is based on text mining the source code of an application. We have explored the potential of the bag-of-words representation and discovered that a dependable prediction model can be built by means of machine learning techniques. In a validation with 10 Android applications we have obtained performance results that often outclass state-of-the-art approaches.
19:15 (45 mins)	BLABLABLA	BLABLABLA	BLABLABLA

Dr. Aram Hovsepyan received both his Master's Degree in Informatics and PhD Degree in Engineering from KU Leuven. Since July 2011, he has been working as a senior researcher in the iMinds-DistriNet research group at KU Leuven where he collaborates with Dr. Riccardo Scandariato and Prof. Wouter Joosen. Dr. Hovsepyan's main research interests lie in the area of model-driven software development and empirical software engineering with a particular focus on security vulnerability prediction techniques.

@@ Line 36: / Line 36: @@
 | valign="middle" bgcolor="#EEEEEE" align="left" | '''Venue Location: University of Leuven<br>
 Venue Address: Department of Computer Science<br> Celestijnenlaan 200 A<br> 3001 Heverlee'''<br>
-Venue: [http://googlemapsinterface.kuleuven.be/index.cgi?lang=N&nbol=(50.864186697481145,%204.678754210472107)&zoomlevel=17&plaatsnaam=Department+of+Computer+Science&maptype=roadmap google maps]
+Venue Map: [http://googlemapsinterface.kuleuven.be/index.cgi?lang=N&nbol=(50.864186697481145,%204.678754210472107)&zoomlevel=17&plaatsnaam=Department+of+Computer+Science&maptype=roadmap google maps]
 |-
 | align="center" style="background:#CCCCEE;" colspan="2" | '''Price and registration'''