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» Automatically Generating Models for Botnet Detection
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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
WSDM
2010
ACM
315views Data Mining» more  WSDM 2010»
14 years 2 months ago
SBotMiner: Large Scale Search Bot Detection
In this paper, we study search bot traffic from search engine query logs at a large scale. Although bots that generate search traffic aggressively can be easily detected, a large ...
Fang Yu, Yinglian Xie, Qifa Ke
ICCV
2007
IEEE
13 years 11 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
WWW
2011
ACM
13 years 7 days ago
Prophiler: a fast filter for the large-scale detection of malicious web pages
Malicious web pages that host drive-by-download exploits have become a popular means for compromising hosts on the Internet and, subsequently, for creating large-scale botnets. In...
Davide Canali, Marco Cova, Giovanni Vigna, Christo...
ICCV
2005
IEEE
14 years 7 months ago
Identifying Individuals in Video by Combining "Generative" and Discriminative Head Models
The objective of this work is automatic detection and identification of individuals in unconstrained consumer video, given a minimal number of labelled faces as training data. Whi...
Mark Everingham, Andrew Zisserman