We present further developments in our work on using data from real users to build a probabilistic model of user affect based on Dynamic Bayesian Networks (DBNs) and designed to de...
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Abstract. We introduce a novel remotely-mounted attack that can expose the network identity of an anonymous client, hidden service, and anonymizing proxies. To achieve this, we emp...
In this paper we analyze a new class of pulsing denialof-service (PDoS) attacks that could seriously degrade the throughput of TCP flows. During a PDoS attack, periodic pulses of...
Background: The availability of interaction databases provides an opportunity for researchers to utilize immense amounts of data exclusively in silico. Recently there has been an ...