'Worm detection' diaporamas de présentation

Use HoneyStat!

431 views • 43 slides

Digital Forensics

Digital Forensics. Dr. Bhavani Thuraisingham The University of Texas at Dallas Application Forensics October 26, 2009. Outline. Email Forensics UTD work on Email worm detection - revisited Mobile System Forensics Note: Other Application/systems related forensics

575 views • 36 slides

Vigilante: End-to-End Containment of Internet Worms

371 views • 25 slides

Digital Forensics

Digital Forensics. Dr. Bhavani Thuraisingham The University of Texas at Dallas Application Forensics November 5, 2008. Outline. Email Forensics UTD work on Email worm detection - revisited Mobile System Forensics Note: Other Application/systems related forensics

484 views • 22 slides

Toward Worm Detection in Online Social Networks

Toward Worm Detection in Online Social Networks. Wei Xu, Fangfang Zhang, and Sencun Zhu ACSAC 2010. OUTLINE. Introduction Related Work System Design Evaluation Limitation and Discussion Conclusion. Introduction - Worm. Worm Scanning Attack string XSS Worm XSS Vulnerability

370 views • 22 slides

A practical introduction to Greenfoot www.greenfoot.org

A practical introduction to Greenfoot www.greenfoot.org. David Barnes Lecturer in Computer Science University of Kent. Overview. Introducing object-orientation BlueJ The Greenfoot environment Greenfoot scenarios Practical application. Introducing object-orientation.

426 views • 13 slides

Introduction to Internet Worm

134 views • 13 slides

Presented by: Sailesh Kumar

DoWitcher: Effective Worm Detection and Containment in the Internet Core S. Ranjan et. al in INFOCOM 2007. Presented by: Sailesh Kumar. Worm Detection. Two well known approaches Content filtering Parse packet payload and match against known signatures On-line => quick detection

255 views • 12 slides

Toward Worm Detection in Online Social Networks Wei Xu, Fangfang Zhang and Sencun Zhu

Introduction & Motivation. Online Social Networking (OSN) Websites Popularity: Facebook (>400M users) MySpace (>70M) Attractive targets for worm Characteristics of OSNs Small average shortest path length High clustering Scale-free networks. OSN Worms Fast-spreading

132 views • 1 slides

Toward Worm Detection in Online Social Networks Wei Xu, Fangfang Zhang and Sencun Zhu

Introduction & Motivation. Online Social Networking (OSN) Websites Popularity: Facebook (>400M users) MySpace (>70M) Attractive targets for worm Characteristics of OSNs Small average shortest path length High clustering Scale-free networks. OSN Worms Fast-spreading

102 views • 1 slides