Real-Time Cyber Attack Detection Over HoneyPi Using Machine Learning

Tehnički Vjesnik

Serkan Gönen¹  Birkan Alhan¹  Mehmet Ali Barişkan¹  Gökçe Karacayilmaz²  Ercan Nurcan Yilmaz³ 

[1] Faculty of Engineering and Architecture, Istanbul Gelisim University, İstanbul, Turkey;Forensic Sciences, Hacettepe University,Ankara, Turkey;Gazi University, Faculty of Technology,Ankara, Turkey;

关键词: Artificial Intelligence;    Cyber Security;    Honeypot;    Internet of Things;    LSTM;    Naive Bayes;   

DOI  :  

来源: DOAJ

【 摘 要 】

The rapid transition of all areas of our lives to the digital environment has kept people away from their intertwined social lives and made them dependent on the isolated cyber environment. This dependency has led to increased cyber threats and, subsequently, cyber-attacks nationally or internationally. Due to the high cost of cybersecurity systems and the expert nature of these systems' management, the cybersecurity component has been mostly ignored, especially in small and medium-sized organizations. In this context, a holistic cybersecurity architecture is designed in which fully open source and free software and hardware-based Raspberry Pi devices with low-cost embedded operating systems are used as a honeypot. In addition, the architectural structure has an integrated, flexible, and easily configurable end-to-end security approach. It is suitable for different platforms by creating end-user screens with personalized software for network security guards and system administrators.

【 授权许可】

Unknown