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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
ICC
2009
IEEE
123views Communications» more  ICC 2009»
13 years 11 months ago
Combining Hidden Markov Models for Improved Anomaly Detection
—In host-based intrusion detection systems (HIDS), anomaly detection involves monitoring for significant deviations from normal system behavior. Hidden Markov Models (HMMs) have...
Wael Khreich, Eric Granger, Robert Sabourin, Ali M...

Publication
363views
12 years 3 months ago
Detecting and Discriminating Behavioural Anomalies
This paper aims to address the problem of anomaly detection and discrimination in complex behaviours, where anomalies are subtle and difficult to detect owing to the complex tempor...
Chen Change Loy, Tao Xiang, Shaogang Gong
DATE
2005
IEEE
168views Hardware» more  DATE 2005»
13 years 10 months ago
Hardware Acceleration of Hidden Markov Model Decoding for Person Detection
This paper explores methods for hardware acceleration of Hidden Markov Model (HMM) decoding for the detection of persons in still images. Our architecture exploits the inherent st...
Suhaib A. Fahmy, Peter Y. K. Cheung, Wayne Luk
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
13 years 10 months ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...