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CIA
2008
Springer
14 years 11 months ago
Trust-Based Classifier Combination for Network Anomaly Detection
Abstract. We present a method that improves the results of network intrusion detection by integration of several anomaly detection algorithms through trust and reputation models. O...
Martin Rehák, Michal Pechoucek, Martin Gril...
CORR
2010
Springer
178views Education» more  CORR 2010»
14 years 9 months ago
Fast Histograms using Adaptive CUDA Streams
Histograms are widely used in medical imaging, network intrusion detection, packet analysis and other streambased high throughput applications. However, while porting such software...
Sisir Koppaka, Dheevatsa Mudigere, Srihari Narasim...
MOBIHOC
2010
ACM
14 years 7 months ago
The intrusion detection in mobile sensor network
Intrusion detection is an important problem in sensor networks. Prior works in static sensor environments show that constructing sensor barriers with random sensor deployment can ...
Gabriel Yik Keung, Bo Li, Qian Zhang
JCS
2002
100views more  JCS 2002»
14 years 9 months ago
STATL: An Attack Language for State-Based Intrusion Detection
STATL is an extensible state/transition-based attack description language designed to support intrusion detection. The language allows one to describe computer penetrations as seq...
Steve T. Eckmann, Giovanni Vigna, Richard A. Kemme...
71
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RAID
2005
Springer
15 years 3 months ago
COTS Diversity Based Intrusion Detection and Application to Web Servers
Abstract. It is commonly accepted that intrusion detection systems (IDS) are required to compensate for the insufficient security mechanisms that are available on computer systems...
Eric Totel, Frédéric Majorczyk, Ludo...