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» Network Intrusion Detection Using Genetic Clustering
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CCS
2004
ACM
14 years 2 months ago
Testing network-based intrusion detection signatures using mutant exploits
Misuse-based intrusion detection systems rely on models of attacks to identify the manifestation of intrusive behavior. Therefore, the ability of these systems to reliably detect ...
Giovanni Vigna, William K. Robertson, Davide Balza...
ACSAC
1998
IEEE
14 years 26 days ago
Detecting Anomalous and Unknown Intrusions Against Programs
The ubiquity of the Internet connection to desktops has been both boon to business as well as cause for concern for the security of digital assets that may be unknowingly exposed....
Anup K. Gosh, James Wanken, Frank Charron
ISSA
2004
13 years 10 months ago
Utilizing Neural Networks For Effective Intrusion Detection
Computer security, and intrusion detection in particular, has become increasingly important in today's business environment, to help ensure safe and trusted commerce between ...
Martin Botha
IDEAL
2010
Springer
13 years 7 months ago
Typed Linear Chain Conditional Random Fields and Their Application to Intrusion Detection
Intrusion detection in computer networks faces the problem of a large number of both false alarms and unrecognized attacks. To improve the precision of detection, various machine l...
Carsten Elfers, Mirko Horstmann, Karsten Sohr, Ott...
FCCM
2004
IEEE
269views VLSI» more  FCCM 2004»
14 years 10 days ago
FPGA Based Network Intrusion Detection using Content Addressable Memories
In this paper, we introduce a novel architecture for a hardware based network intrusion detection system (NIDS). Current software-based NIDS are too compute intensive and can not ...
Long Bu, John A. Chandy