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» Symptoms-Based Detection of Bot Processes
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MMMACNS
2010
Springer
13 years 3 months ago
Symptoms-Based Detection of Bot Processes
Botnets have become the most powerful tool for attackers to victimize countless users across cyberspace. Previous work on botnet detection has mainly focused on identifying infecte...
Jose Andre Morales, Erhan J. Kartaltepe, Shouhuai ...
RAID
2010
Springer
13 years 3 months ago
Fast-Flux Bot Detection in Real Time
The fast-flux service network architecture has been widely adopted by bot herders to increase the productivity and extend the lifespan of botnets’ domain names. A fast-flux bot...
Ching-Hsiang Hsu, Chun-Ying Huang, Kuan-Ta Chen
WWW
2010
ACM
14 years 10 days ago
Large-scale bot detection for search engines
In this paper, we propose a semi-supervised learning approach for classifying program (bot) generated web search traffic from that of genuine human users. The work is motivated by...
Hongwen Kang, Kuansan Wang, David Soukal, Fritz Be...
ICC
2009
IEEE
150views Communications» more  ICC 2009»
14 years 2 days ago
Modeling Human Behavior for Defense Against Flash-Crowd Attacks
—Flash-crowd attacks are the most vicious form of distributed denial of service (DDoS). They flood the victim with service requests generated from numerous bots. Attack requests...
Georgios Oikonomou, Jelena Mirkovic
ACSAC
2005
IEEE
13 years 11 months ago
Design and Implementation of an Extrusion-based Break-In Detector for Personal Computers
An increasing variety of malware, such as worms, spyware and adware, threatens both personal and business computing. Remotely controlled bot networks of compromised systems are gr...
Weidong Cui, Randy H. Katz, Wai-tian Tan