In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
In this paper, a novel packet classification scheme optimized for multi-core network processors is proposed. The algorithm, Explicit Cuttings (ExpCuts), adopts a hierarchical spac...
Quantitative data about security threats is a precondition for a precise assessment of security risks and consequently for an efficient management of information security. Curren...
There is a large number of research papers and standards dedicated to security for outsourced data. Yet, most papers propose new controls to access and protect the data rather tha...