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» Using Active Learning in Intrusion Detection
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ISI
2007
Springer
13 years 5 months ago
Host Based Intrusion Detection using Machine Learning
—Detecting unknown malicious code (malcode) is a challenging task. Current common solutions, such as anti-virus tools, rely heavily on prior explicit knowledge of specific instan...
Robert Moskovitch, Shay Pluderman, Ido Gus, Dima S...
NIPS
1997
13 years 6 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
RAID
2000
Springer
13 years 8 months ago
A Real-Time Intrusion Detection System Based on Learning Program Behavior
Abstract. In practice, most computer intrusions begin by misusing programs in clever ways to obtain unauthorized higher levels of privilege. One e ective way to detect intrusive ac...
Anup K. Ghosh, Christoph C. Michael, Michael Schat...
HICSS
2007
IEEE
222views Biometrics» more  HICSS 2007»
13 years 11 months ago
Battery-Sensing Intrusion Protection for Wireless Handheld Computers Using a Dynamic Threshold Calculation Algorithm for Attack
This paper proposes a pioneering Battery-Sensing Intrusion Protection System (B-SIPS) for mobile computers, which alerts on power changes detected on small wireless devices, using...
Timothy Buennemeyer, Faiz Munshi, Randy C. Marchan...
SP
1999
IEEE
184views Security Privacy» more  SP 1999»
13 years 9 months ago
A Data Mining Framework for Building Intrusion Detection Models
There is often the need to update an installed Intrusion Detection System (IDS) due to new attack methods or upgraded computing environments. Since many current IDSs are construct...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok