International Journal of Engineering and Innovative Research

International Journal of Engineering and Innovative Research

MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING

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

Cilt 2 , Sayı 1 , 2020 , Sayfalar 47 - 53

Konular:Mühendislik

Anahtar Kelimeler:Log analysis,Security management,Alarm system,Machine learning

Özet: 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.


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BibTex
KOPYALA
@article{2020, title={MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING}, volume={2}, number={47–53}, publisher={International Journal of Engineering and Innovative Research}, author={Fatma BOZYİĞİT,Okan TÜRKSEVER,Ozan TÜRKSEVER,Deniz KILINÇ}, year={2020} }
APA
KOPYALA
Fatma BOZYİĞİT,Okan TÜRKSEVER,Ozan TÜRKSEVER,Deniz KILINÇ. (2020). MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING (Vol. 2). Vol. 2. International Journal of Engineering and Innovative Research.
MLA
KOPYALA
Fatma BOZYİĞİT,Okan TÜRKSEVER,Ozan TÜRKSEVER,Deniz KILINÇ. MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING. no. 47–53, International Journal of Engineering and Innovative Research, 2020.