MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING

Year 2020, Volume: 2 Issue: 1, 47 - 53, 22.04.2020

Fatma Bozyiğit Okan Türksever Ozan Türksever Deniz Kılınç

Abstract

Log files keep activity records of each process performed have an important place in terms of security. Systems that provide infrastructure for applications such as network security mainly work on log management. Recently, when the security mechanisms of popular applications are examined, it has been observed that they aim to strengthen their infrastructures with machine learning (ML) methods, but in some respects, they have shortcomings. In this study, we aim to develop an alarm and security reporting system using ML methods. Our study differs from the others since it considers five separate feature (IP reputation, web reputation, malware destination access, botnet) and includes them into ML model.

Keywords

Log analysis, security management, alarm system, machine learning

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