Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
visualization to abstract data sets like network intrusion detection, recommender systems, and database query results. Although display algorithms are a critical component in the v...
Brent M. Dennis, Sarat Kocherlakota, Amit P. Sawan...
While wireless sensor networks are proving to be a versatile tool, many of the applications in which they are implemented have sensitive data. In other words, security is crucial ...
Mary Mathews, Min Song, Sachin Shetty, Rick McKenz...
With the continuous evolution of the types of attacks against computer networks, traditional intrusion detection systems, based on pattern matching and static signatures, are incr...
Efficiency is one of the major issues in intrusion detection. Inefficiency is often attributed to high overhead and this is caused by several reasons. Among them are continuous de...
Anazida Zainal, Mohd Aizaini Maarof, Siti Mariyam ...