Visualized information is a technique that can encode large amounts of complex interrelated data, being at the same time easily quantified, manipulated, and processed by a human us...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
Federico Maggi, William K. Robertson, Christopher ...
—In this paper, we propose new “low-overhead” network monitoring techniques to detect violations of path-level QoS guarantees like end-to-end delay, loss, etc. Unlike existin...
K. V. M. Naidu, Debmalya Panigrahi, Rajeev Rastogi