Abstract. Intrusion detection has been extensively studied in the last two decades. However, most existing intrusion detection techniques detect limited number of attack types 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 ...
Paper-based folders have been widely used to coordinate cares in medical-social networks, but they introduce some burning issues (e.g. privacy protection, remote access to the fol...
Nicolas Anciaux, Mehdi Benzine, Luc Bouganim, K&ea...
Abstract— The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sen...
Nowadays, increasing needs for information sharing arise due to extensive collaborations among organizations. Organizations desire to provide data access to their collaborators whi...
Fengjun Li, Bo Luo, Peng Liu, Anna Cinzia Squiccia...