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ACMSE
2005
ACM
13 years 10 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
TMA
2010
Springer
140views Management» more  TMA 2010»
13 years 2 months ago
Uncovering Relations between Traffic Classifiers and Anomaly Detectors via Graph Theory
Abstract. Network traffic classification and anomaly detection have received much attention in the last few years. However, due to the the lack of common ground truth, proposed met...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
EVOW
2009
Springer
13 years 8 months ago
Efficient Signal Processing and Anomaly Detection in Wireless Sensor Networks
In this paper the node-level decision unit of a self-learning anomaly detection mechanism for office monitoring with wireless sensor nodes is presented. The node-level decision uni...
Markus Wälchli, Torsten Braun
ASIAN
2007
Springer
174views Algorithms» more  ASIAN 2007»
13 years 11 months ago
Combining Heterogeneous Classifiers for Network Intrusion Detection
Extensive use of computer networks and online electronic data and high demand for security has called for reliable intrusion detection systems. A repertoire of different classifier...
Ali Borji
RAID
2010
Springer
13 years 2 months ago
What Is the Impact of P2P Traffic on Anomaly Detection?
Abstract. Recent studies estimate that peer-to-peer (p2p) traffic comprises 40-70% of today's Internet traffic [1]. Surprisingly, the impact of p2p traffic on anomaly detectio...
Irfan Ul Haq, Sardar Ali, Hassan Khan, Syed Ali Kh...