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Difference between revisions of "EUTour2013 Belgium Agenda"
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| valign="middle" bgcolor="#EEEEEE" align="center" | ''' Thursday 6th June ''' | | valign="middle" bgcolor="#EEEEEE" align="center" | ''' Thursday 6th June ''' | ||
| valign="middle" bgcolor="#EEEEEE" align="left" | '''Venue Location: University of Leuven<br> | | valign="middle" bgcolor="#EEEEEE" align="left" | '''Venue Location: University of Leuven<br> | ||
| − | Venue Address: | + | Venue Address: Department of Computer Science (foyer at ground floor)<br> Celestijnenlaan 200 A<br> 3001 Heverlee'''<br> |
| − | Venue | + | 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] |
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| align="center" style="background:#CCCCEE;" colspan="2" | '''Price and registration''' | | align="center" style="background:#CCCCEE;" colspan="2" | '''Price and registration''' | ||
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| style="width:40%" valign="middle" height="30" bgcolor="#CCCCEE" align="center" colspan="0" | '''Description''' | | style="width:40%" valign="middle" height="30" bgcolor="#CCCCEE" align="center" colspan="0" | '''Description''' | ||
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| − | | style="width:10%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | | + | | style="width:10%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | 18:00<br>(30 mins) |
| style="width:25%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | Registration | | style="width:25%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | Registration | ||
| style="width:25%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | | | style="width:25%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | | ||
| style="width:40%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | | | style="width:40%" valign="middle" height="30" bgcolor="#CCEEEE" align="center" colspan="0" | | ||
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| − | | style="width:10%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | | + | | style="width:10%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | 18:30<br>(45 mins) |
| style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | Vulnerability Prediction in Android Applications | | style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | Vulnerability Prediction in Android Applications | ||
| style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | Aram Hovsepyan, Ph. D. | | style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | Aram Hovsepyan, Ph. D. | ||
| style="width:40%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | 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. | | style="width:40%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | 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. | ||
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| − | | style="width:10%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | | + | | style="width:10%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | 19:15<br>(45 mins) |
| style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | BLABLABLA | | style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | BLABLABLA | ||
| style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | BLABLABLA | | style="width:25%" valign="middle" height="30" bgcolor="#EEEEEE" align="center" colspan="0" | BLABLABLA | ||
Revision as of 19:19, 6 May 2013
 |
OWASP EUROPE TOUR 2013 Tour Home Page |
| CONFERENCE AND TRAINING | |
OWASP Europe Tour - Belgium 2013Thursday 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.
| |
| OWASP MEMBERSHIP | |
| During the OWASP Europe Tour you could become a member and support our mission. |
|
CONFERENCE (Monday 13th May) | |
| Fecha | Lugar |
| Thursday 6th June | Venue Location: University of Leuven Venue Address: Department of Computer Science (foyer at ground floor) |
| 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 | ||
Bio
- 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.
