Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...
Launching a denial of service (DoS) attack is trivial, but detection and response is a painfully slow and often a manual process. Automatic classification of attacks as single- or...
Alefiya Hussain, John S. Heidemann, Christos Papad...
The Internet has grown tremendously in terms of the number of users who rely on it and the number of organizations that are connected to it. Characterizing how this growth affects...
Anusha Sriraman, Kevin R. B. Butler, Patrick Drew ...
Despite recent excitement generated by the peer-to-peer (P2P) paradigm and the surprisingly rapid deployment of some P2P applications, there are few quantitative evaluations of P2...
Static DHT topologies influence important features of such DHTs such as scalability, communication load balancing, routing efficiency and fault tolerance. Nevertheless, it is co...