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CCS
2009
ACM
16 years 1 months ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
IAT
2007
IEEE
16 years 27 days ago
Agent-Based Network Intrusion Detection System
The paper presents security platform based on agents as an efficient and robust solution for high-performance intrusion detection system designed for deployment on highspeed netw...
Vojtech Krmicek, Pavel Celeda, Martin Rehák...
HPCC
2007
Springer
16 years 21 days ago
MC2DR: Multi-cycle Deadlock Detection and Recovery Algorithm for Distributed Systems
Abstract. Even though there have been many research works on distributed deadlock detection and recovery mechanisms, the multi-cycle deadlock problems are not extensively studied y...
Md. Abdur Razzaque, Md. Mamun-Or-Rashid, Choong Se...
CW
2003
IEEE
15 years 12 months ago
Utilizing Statistical Characteristics of N-grams for Intrusion Detection
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
Zhuowei Li, Amitabha Das, Sukumar Nandi
DAS
2006
Springer
15 years 10 months ago
Performance Evaluation of Text Detection and Tracking in Video
Text detection and tracking is an important step in a video content analysis system as it brings important semantic clues which is a vital supplemental source of index information....
Vasant Manohar, Padmanabhan Soundararajan, Matthew...