Size and complexity of data repositories collaboratively created by Web users generate a need for new processing approaches. In this paper, we study the problem of detection of ...
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Abstract. We propose a novel framework of autonomic intrusion detection that fulfills online and adaptive intrusion detection in unlabeled audit data streams. The framework owns a...
—In large network environments multiple intrusion detection sensors are needed to adequately monitor network traffic. However, deploying and managing additional sensors on a lar...
Hao Chen, John A. Clark, Siraj A. Shaikh, Howard C...
: Intrusion detection systems continuously watch the activity of a network or computer, looking for attack or intrusion evidences. However, hostbased intrusion detectors are partic...