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Intelligent Data Leak Detection Through Behavioural Analysis

Authors:
Ricardo Costeira
Henrique Santos

Keywords: Anomaly Detection; Machine Learning; Data Mining; Support Vector Machines

Abstract:
In this paper we discuss a solution to detect data leaks in an intelligent and furtive way through a real time analysis of the user’s behaviour while handling classified information. Data is based on experiences with real world use cases and a variety of data preparation and data analysis techniques have been tried. Results show the feasibility of the approach, but also the necessity to correlate with other security events to improve the precision.

Pages: 17 to 26

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2519-8599

ISBN: 978-1-61208-512-8

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016