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» A High-Performance Network Intrusion Detection System
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CONEXT
2007
ACM
13 years 9 months 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
AINA
2009
IEEE
14 years 2 months ago
Similarity Search over DNS Query Streams for Email Worm Detection
Email worms continue to be a persistent problem, indicating that current approaches against this class of selfpropagating malicious code yield rather meagre results. Additionally,...
Nikolaos Chatzis, Nevil Brownlee
ICC
2007
IEEE
164views Communications» more  ICC 2007»
14 years 2 months ago
A Framework of Attacker Centric Cyber Attack Behavior Analysis
—Cyber attack behavior analysis can be roughly classified as “network centric” and “attacker centric” approaches. Compared with traditional “network centric” approach...
Xuena Peng, Hong Zhao
COMSIS
2007
80views more  COMSIS 2007»
13 years 8 months ago
"Security of Computer Systems and Networks" Book Preview
This paper presents preview of the new book titled “Security of Computer Systems and Networks” (original in Serbian language “Sigurnost računarskih sistema i mreža”) – ...
Dragan Pleskonjic, Nemanja Macek, Borislav Djordje...
INFOCOM
2008
IEEE
14 years 2 months ago
Run-Time System for Scalable Network Services
Sophisticated middlebox services–such as network monitoring and intrusion detection, DDoS mitigation, worm scanning, XML parsing and protocol transformation–are becoming incre...
Upendra Shevade, Ravi Kokku, Harrick M. Vin