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» Detecting Anomalies and Intruders
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IEEEIAS
2009
IEEE
14 years 4 months ago
Detecting Insider Attacks Using Non-negative Matrix Factorization
—It is a fact that vast majority of attention is given to protecting against external threats, which are considered more dangerous. However, some industrial surveys have indicate...
Jan Platos, Václav Snásel, Pavel Kr&...
DCOSS
2005
Springer
14 years 3 months ago
Analysis of Target Detection Performance for Wireless Sensor Networks
In surveillance and tracking applications, wireless sensor nodes collectively monitor the existence of intruding targets. In this paper, we derive closed form results for predicti...
Qing Cao, Ting Yan, John A. Stankovic, Tarek F. Ab...
ICNC
2005
Springer
14 years 3 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 ...
ICDCS
2003
IEEE
14 years 3 months ago
Cross-Feature Analysis for Detecting Ad-Hoc Routing Anomalies
With the proliferation of wireless devices, mobile ad hoc networking (MANET) has become a very exciting and important technology due to its characteristics of open medium and dyna...
Yi-an Huang, Wei Fan, Wenke Lee, Philip S. Yu
CIA
2008
Springer
13 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...