Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Abstract—We present an extended version of a software system SIGHTS1 (Statistical Identification of Groups Hidden in Time and Space), which can be used for the discovery, analys...
Jeffrey Baumes, Mark K. Goldberg, Mykola Hayvanovy...
In this paper, we describe our first year experiences of administering the NSF-supported Research Experiences for Undergraduates program award. Emerging issues in computer network...
Wireless mesh network can increase service coverage by low-cost multiple-paths between a source and a destination. But because of the wireless nature, wireless mesh network is vuln...
In this paper we present the first framework that allows the creation of Secret Interest Groups (SIGs) in Online Social Networks; SIGs are self managed groups formed outside of t...