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» Network Intrusion Detection Using Genetic Clustering
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SASN
2006
ACM
15 years 9 months ago
Autonomous and distributed node recovery in wireless sensor networks
Intrusion or misbehaviour detection systems are an important and widely accepted security tool in computer and wireless sensor networks. Their aim is to detect misbehaving or faul...
Mario Strasser, Harald Vogt
IPSN
2003
Springer
15 years 8 months ago
Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors
The study of collaborative, distributed, real-time sensor networks is an emerging research area. Such networks are expected to play an essential role in a number of applications su...
Peshala V. Pahalawatta, Dejan Depalov, Thrasyvoulo...
JEI
2008
307views more  JEI 2008»
15 years 3 months ago
Recall or precision-oriented strategies for binary classification of skin pixels
Skin detection is a preliminary step in many applications. We analyze some of the most frequently cited binary skin classifiers based on explicit color cluster definition and prese...
Francesca Gasparini, Silvia Corchs, Raimondo Schet...
CLEF
2010
Springer
15 years 4 months ago
A Cluster-Based Plagiarism Detection Method - Lab Report for PAN at CLEF 2010
In this paper we describe a cluster-based plagiarism detection method, which we have used in the learning management system of SCUT to detect plagiarism in the network engineering ...
Du Zou, Wei-jiang Long, Zhang Ling
CCS
2006
ACM
15 years 7 months ago
Evading network anomaly detection systems: formal reasoning and practical techniques
Attackers often try to evade an intrusion detection system (IDS) when launching their attacks. There have been several published studies in evasion attacks, some with available to...
Prahlad Fogla, Wenke Lee