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CCS
1999
ACM
15 years 5 months ago
A High-Performance Network Intrusion Detection System
In this paper we present a new approach for network intrusion detection based on concise specifications that characterize normal and abnormal network packet sequences. Our speci...
R. Sekar, Y. Guang, S. Verma, T. Shanbhag
PKDD
2009
Springer
174views Data Mining» more  PKDD 2009»
15 years 8 months ago
Active and Semi-supervised Data Domain Description
Data domain description techniques aim at deriving concise descriptions of objects belonging to a category of interest. For instance, the support vector domain description (SVDD) l...
Nico Görnitz, Marius Kloft, Ulf Brefeld
ICEIS
2002
IEEE
15 years 6 months ago
DIDAFIT: Detecting Intrusions in Databases Through Fingerprinting Transactions
: The most valuable information assets of an organization are often stored in databases and it is pertinent for such organizations to ensure the integrity and confidentiality of t...
Wai Lup Low, Joseph Lee, Peter Teoh
CONEXT
2007
ACM
15 years 3 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
NIPS
1997
15 years 2 months ago
Intrusion Detection with Neural Networks
With the rapid expansion of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is ...
Jake Ryan, Meng-Jang Lin, Risto Miikkulainen