MACHINE LEARNING BASED SECURITY ANALYSIS: ALARM GENERATION AND THREAT FORECASTING
Küçük Resim Yok
Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ahmet Ali SÜZEN
Erişim Hakkı
info:eu-repo/semantics/openAccess
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.
Açıklama
Anahtar Kelimeler
Log analysis, security management, alarm system, machine learning
