In this paper, we propose a novel approach to address the problem of change detection in time series data. Our approach is based on wavelet footprints proposed originally by the si...
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,...
RFID data are usually regarded as streaming data that are huge and change frequently because they are gathered continuously by numerous readers. RFID middleware filters the data a...
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
Over the last years many statistical models have been proposed to restore tomographical images. However, their use in medical environment has been limited due to several factors. ...