MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING

Authors : Fatma BOZYİĞİT, Okan TÜRKSEVER, Ozan TÜRKSEVER, Deniz KILINÇ

Pages : 47-53

View : 14 | Download : 10

Publication Date : 2020-04-22

Article Type : Research Paper

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 insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(IP reputation, web reputation, malware destination access, botnet); and includes them into ML model.
Keywords : Log analysis, security management, alarm system, machine learning