39 search results - page 3 / 8 » Detecting and discriminating behavioural anomalies |
KDD
2009
ACM
2009
ACM
Classification of software behaviors for failure detection: a discriminative pattern mining approach
14 years 5 months ago
Software is a ubiquitous component of our daily life. We often depend on the correct working of software systems. Due to the difficulty and complexity of software systems, bugs an...
ACMSE
2005
ACM
13 years 11 months ago
2005
ACM
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...
ICANNGA
2009
Springer
13 years 12 months ago
2009
Springer
A statistical generative model is presented as an alternative to negative selection in anomaly detection of string data. We extend the probabilistic approach to binary classificat...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...
ICEIS
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract. Network Intrusion Detection Systems (NIDS) aim at preventing network attacks and unauthorised remote use of computers. More accurately, depending on the kind of attack it...