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» Active learning for network intrusion detection
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CSFW
2004
IEEE
13 years 9 months ago
Using Active Learning in Intrusion Detection
Intrusion Detection Systems (IDSs) have become an important part of operational computer security. They are the last line of defense against malicious hackers and help detect ongo...
Magnus Almgren, Erland Jonsson
ICNC
2005
Springer
13 years 11 months ago
Applying Genetic Programming to Evolve Learned Rules for Network Anomaly Detection
The DARPA/MIT Lincoln Laboratory off-line intrusion detection evaluation data set is the most widely used public benchmark for testing intrusion detection systems. But the presence...
Chuanhuan Yin, Shengfeng Tian, Houkuan Huang, Jun ...
CNSR
2004
IEEE
174views Communications» more  CNSR 2004»
13 years 9 months ago
Network Intrusion Detection Using an Improved Competitive Learning Neural Network
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
John Zhong Lei, Ali A. Ghorbani
HICSS
2007
IEEE
222views Biometrics» more  HICSS 2007»
13 years 12 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...
CN
2007
179views more  CN 2007»
13 years 5 months ago
Protecting host-based intrusion detectors through virtual machines
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...
Marcos Laureano, Carlos Maziero, Edgard Jamhour