A Binary-based MapReduce Analysis for Cloud Logs
Mouad Lemoudden, Meryem Amar, Bouabid El Ouahidi · Procedia Computer Science · 2016
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.