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A Binary-based MapReduce Analysis for Cloud Logs

Lemoudden, Mouad; Amar, Meryem; El Ouahidi, Bouabid


Meryem Amar

Bouabid El Ouahidi


Efficiently managing and analyzing cloud logs is a difficult and expensive task due the growth in size and variety of formats. In this paper, we propose a binary-based approach for frequency mining correlated attacks in log data. This approach is conceived to work using the MapReduce programming model. Initial experimental results are presented and they serve as the subject of a data mining algorithm to help us predict the likelihood of correlated attacks taking place.

Journal Article Type Article
Online Publication Date May 12, 2016
Publication Date 2016
Deposit Date Feb 28, 2023
Publicly Available Date Feb 28, 2023
Journal Procedia Computer Science
Print ISSN 1877-0509
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 83
Pages 1213-1218
Keywords cloud, big data, logs, log management, binary approach, predict security attacks


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