'Attack detection' presentation slideshows

Khushboo Shah, Edmond Jonckheere, Stephan Bohacek University of Southern California

Detecting Network Attacks Through Traffic Modeling. Khushboo Shah, Edmond Jonckheere, Stephan Bohacek University of Southern California. Theme. Objective: Detect flooding attacks. Hypothesis:

913 views • 77 slides

Defending against Flooding-Based Distributed Denial-of-Service Attacks: A Tutorial

Defending against Flooding-Based Distributed Denial-of-Service Attacks: A Tutorial. Rocky K. C. Chang The Hong Kong Polytechnic University. Rocky K. C. Chang The Hong Kong Polytechnic University. Presented by Scott McLaren. Overview. DDoS overview Types of attacks

465 views • 34 slides

Defending against Flooding-Based Distributed Denial-of-Service Attacks: A tutorial

Defending against Flooding-Based Distributed Denial-of-Service Attacks: A tutorial. Rocky K. C. Chang The Hong Kong Polytechnic University. Rocky K. C. Chang The Hong Kong Polytechnic University. Presented by Scott McLaren. Overview. DDoS overview Types of attacks

433 views • 34 slides

Distributed Denial of Service ( DDoS )

Distributed Denial of Service ( DDoS ). Defending against Flooding-Based DDoS Attacks: A Tutorial Rocky K. C. Chang Presented by Adwait Belsare ( adwait@wpi.edu ) Suvesh Pratapa ( suveshp@wpi.edu ) Modified Slightly by Bob Kinicki 13 October 2009. Outline. Introduction

441 views • 31 slides

Presented by Nadine Sundquist

412 views • 24 slides

The MNM Team

The GIDS project A Grid-based, federated Intrusion Detection System to secure the D-Grid infrastructure Nils gentschen Felde , Felix von Eye. The MNM Team. Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften. Grid-related projects (excerpt: @LMU). European projects

385 views • 24 slides

The Robustness of Localization Algorithms to Signal Strength Attacks A Comparative Study

The Robustness of Localization Algorithms to Signal Strength Attacks A Comparative Study. Yingying Chen, Konstantinos Kleisouris, Xiaoyan Li, Wade Trappe, and Richard P. Martin Dept. of Computer Science Wireless Information Network Laboratory Rutgers University May 16 th , 2006. Background.

381 views • 24 slides

Presented by Nadine Sundquist

254 views • 24 slides

TETRA @ Your Service

565 views • 22 slides

Attack Detection in Wireless Localization

Attack Detection in Wireless Localization. Yingying Chen Dept. of Computer Science, Rutgers University Wireless Information Network Laboratory (WINLAB) Joint work with Prof. Wade Trappe and Prof. Richard P. Martin Network Security Workshop 2007 Lehigh University. Introduction.

330 views • 20 slides

DoS-resistant Internet Grand Strategy technical and economic measures

DoS-resistant Internet Grand Strategy technical and economic measures. Bob Briscoe Jun 2006. technical measures. operational best common practices summary of BCP (separate thread of work) survey of proposed technical measures described through a common reference model

259 views • 10 slides

Attack detection vs. p rivacy in wireless sensor networks

Attack detection vs. p rivacy in wireless sensor networks. Wireless sensor network (WSN) Constrained in energy & computational power Usually process sensitive information Often deployed in physically unprotected area High risk of being attacked Active attacker disturbs network operation

173 views • 3 slides