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» Effective worm detection for various scan techniques
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CONEXT
2007
ACM
14 years 17 days ago
Detecting worm variants using machine learning
Network intrusion detection systems typically detect worms by examining packet or flow logs for known signatures. Not only does this approach mean worms cannot be detected until ...
Oliver Sharma, Mark Girolami, Joseph S. Sventek
IEICET
2007
142views more  IEICET 2007»
13 years 10 months ago
Detecting Unknown Worms Using Randomness Check
From the appearance of CodeRed and SQL Slammer worm, we have learned that the early detection of worm epidemics is important to reduce the damage caused by their outbreak. One prom...
Hyundo Park, Heejo Lee, Hyogon Kim
DIMVA
2007
14 years 6 days ago
Distributed Evasive Scan Techniques and Countermeasures
Scan detection and suppression methods are an important means for preventing the disclosure of network information to attackers. However, despite the importance of limiting the inf...
Min Gyung Kang, Juan Caballero, Dawn Xiaodong Song
ACSAC
2006
IEEE
14 years 2 months ago
On Detecting Camouflaging Worm
Active worms pose major security threats to the Internet. In this paper, we investigate a new class of active worms, i.e., Camouflaging Worm (C-Worm in short). The C-Worm has the ...
Wei Yu, Xun Wang, Prasad Calyam, Dong Xuan, Wei Zh...
INFOCOM
2006
IEEE
14 years 4 months ago
A Quasi-Species Approach for Modeling the Dynamics of Polymorphic Worms
— Polymorphic worms can change their byte sequence as they replicate and propagate, thwarting the traditional signature analysis techniques used by many intrusion detection syste...
Bradley Stephenson, Biplab Sikdar