: Novelty detection, or anomaly detection, on temporal sequences has increasingly attracted attention from researchers in different areas. In this paper, we present a new framework...
Abstract. Outlier detection has been used for centuries to detect and, where appropriate, remove anomalous observations from data. Outliers arise due to mechanical faults, changes ...
Many DBMS products in the market provide built in encryption support to deal with the security concerns of the organizations. This solution is quite effective in preventing data ...
Mustafa Canim, Murat Kantarcioglu, Bijit Hore, Sha...
Abstract. In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to de...
Abstract. This paper presents the first results on AIDA/cube, algebraic and sidechannel attacks on variable number of rounds of all members of the KATAN family of block ciphers. Ou...
Gregory V. Bard, Nicolas Courtois, Jorge Nakahara,...