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ECCV
2010
Springer
13 years 11 months ago
Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Pro
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 ...
ICST
2009
IEEE
14 years 2 months ago
The Effectiveness of Automated Static Analysis Tools for Fault Detection and Refactoring Prediction
Many automated static analysis (ASA) tools have been developed in recent years for detecting software anomalies. The aim of these tools is to help developers to eliminate software...
Fadi Wedyan, Dalal Alrmuny, James M. Bieman
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 12 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
HICSS
2010
IEEE
222views Biometrics» more  HICSS 2010»
13 years 9 months ago
Application-Layer Intrusion Detection in MANETs
— Security has become important to mobile ad hoc networks (MANETs) due mainly to their use for many missionand life-critical applications. However, the broadcast nature of inter-...
Katharine Chang, Kang G. Shin
CISS
2008
IEEE
13 years 8 months ago
Detection of anomalous meetings in a social network
Abstract-- When monitoring interactions within a social network, meetings or contacts between different members of the network are recorded. This paper addresses the problem of usi...
Jorge Silva, Rebecca Willett