Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Call For Paper : Vol 11, Issue 03, March 2024

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Anomaly Detection in Policy Authorization Activity Logs

Author : Zahedeh Zamanian 1 Ali Feizollah 2 Nor Badrul Anuar 3 Miss Laiha Binti Mat Kiah 4

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Date of Publication :30th November 2017

Abstract: Security in corporations is a crucial issue. As number of users in these corporation increases, the chance of having intruder also increases. It is important to develop effective methods to deal with such threat. Luckily, users leave an electric footprint behind, as log files. Analyzing these log files results in examining users’ activity and detecting an intruder. Recent works have proposed methods for detecting intruders inside corporations. However, these methods are complex for today’s corporation. In this work, we proposed a lightweight and effective method to detect an intruder inside corporations using log files. The dataset in this work was provided from NextLabs, one of the high-profile companies in information security. The experiment using random forest algorithm shows that this method detects intruders with 97.18% accuracy

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