A Binary-based MapReduce Analysis for Cloud Logs

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

Abstract

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.

Citation

Lemoudden, M., Amar, M., & El Ouahidi, B. (2016). A Binary-based MapReduce Analysis for Cloud Logs. Procedia Computer Science, 83, 1213-1218. https://doi.org/10.1016/j.procs.2016.04.253

• 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
• DOI: https://doi.org/10.1016/j.procs.2016.04.253
• Keywords: cloud, big data, logs, log management, binary approach, predict security attacks