—In recent literature, network coding has emerged as a promising information theoretic approach to improve the performance of both peer-to-peer and wireless networks. It has been...
Commercial anti-virus software are unable to provide protection against newly launched (a.k.a “zero-day”) malware. In this paper, we propose a novel malware detection techniqu...
S. Momina Tabish, M. Zubair Shafiq, Muddassar Faro...
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Previous analytic models of TCP Vegas throughput have been developed for loss-free (all-Vegas) networks. This work develops a simple and accurate analytic model for the throughput...
Datasets are an integral part of contemporary object recognition research. They have been the chief reason for the considerable progress in the field, not just as source of large...