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IJNSEC
2008
95views more  IJNSEC 2008»
14 years 9 months ago
Generalized Anomaly Detection Model for Windows-based Malicious Program Behavior
In this paper we demonstrate that it is possible in general to detect Windows-based malicious program behavior. Since S. Forrest et al. used the N-grams method to classify system ...
Xin Tang, Constantine N. Manikopoulos, Sotirios G....
74
Voted
CISS
2008
IEEE
15 years 4 months ago
Unsupervised distributional anomaly detection for a self-diagnostic speech activity detector
— One feature that classification algorithms typically lack is the ability to know what they do not know. With this knowledge an algorithm would be able to operate in any domain...
Nash M. Borges, Gerard G. L. Meyer
70
Voted
ICC
2007
IEEE
15 years 4 months ago
Using Session-Keystroke Mutual Information to Detect Self-Propagating Malicious Codes
— In this paper, we propose an endpoint-based joint network-host anomaly detection technique to detect selfpropagating malicious codes. Our proposed technique is based on the obs...
Syed A. Khayam, Hayder Radha
56
Voted
ICDIM
2008
IEEE
15 years 4 months ago
NIDS based on payload word frequencies and anomaly of transitions
This paper presents a novel payload analysis method. Consecutive bytes are separated by boundary symbols and defined as words. The frequencies of word appearance and word to word ...
Sasa Mrdovic, Branislava Perunicic
86
Voted
EWSN
2008
Springer
15 years 9 months ago
Spatiotemporal Anomaly Detection in Gas Monitoring Sensor Networks
In this paper3 , we use Bayesian Networks as a means for unsupervised learning and anomaly (event) detection in gas monitoring sensor networks for underground coal mines. We show t...
X. Rosalind Wang, Joseph T. Lizier, Oliver Obst, M...