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» Behavioral Intrusion Detection
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CONEXT
2007
ACM
15 years 6 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
DIMVA
2006
15 years 6 months ago
A Fast Worm Scan Detection Tool for VPN Congestion Avoidance
Finding the cause for congested virtual private network (VPN) links that connect an office network over the Internet to remote subsidiaries can be a hassle. Scan traffic of worm i...
Arno Wagner, Thomas Dübendorfer, Roman Hiesta...
145
Voted
SP
2003
IEEE
107views Security Privacy» more  SP 2003»
15 years 10 months ago
Anomaly Detection Using Call Stack Information
The call stack of a program execution can be a very good information source for intrusion detection. There is no prior work on dynamically extracting information from call stack a...
Henry Hanping Feng, Oleg M. Kolesnikov, Prahlad Fo...
SAC
2010
ACM
15 years 11 months ago
Botzilla: detecting the "phoning home" of malicious software
Hosts infected with malicious software, so called malware, are ubiquitous in today’s computer networks. The means whereby malware can infiltrate a network are manifold and rang...
Konrad Rieck, Guido Schwenk, Tobias Limmer, Thorst...
WEBI
2009
Springer
15 years 11 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham