Biometrics is the automated method of recognizing a person based on a physiological or behavioural characteristic. Biometric technologies are becoming the foundation of an extensiv...
Anastasis Kounoudes, Nicolas Tsapatsoulis, Zenonas...
We propose new and improved instantiations of lossy trapdoor functions (Peikert and Waters, STOC ’08), and correlation-secure trapdoor functions (Rosen and Segev, TCC ’09). Ou...
David Mandell Freeman, Oded Goldreich, Eike Kiltz,...
This paper presents a novel approach for detecting network intrusions based on a competitive learning neural network. In the paper, the performance of this approach is compared to...
— To proactively defend against intruders from readily jeopardizing single-path data sessions, we propose a distributed secure multipath solution to route data across multiple pa...
Under conditions of heavy traffic load or sudden traffic bursts, the peak processing throughput of network intrusion detection systems (NIDS) may not be sufficient for inspecting ...