Real-Time Cyber Attack Detection Over HoneyPi Using Machine Learning

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Tarih

2022

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

UNIV OSIJEK, TECH FAC, TRG IVANE BRLIC-MAZURANIC 2, SLAVONSKI BROD HR-35000, CROATIA

Erişim Hakkı

info:eu-repo/semantics/openAccess
Attribution-NonCommercial-NoDerivs 3.0 United States

Özet

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.

Açıklama

Anahtar Kelimeler

Artificial Intelligence, Cyber Security, Honeypot, Internet of Things, LSTM, Naive Bayes

Kaynak

Technical Gazette

WoS Q Değeri

Q4

Scopus Q Değeri

Q3

Cilt

29

Sayı

4

Künye