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ICS-IDS: application of big data analysis in AI-based intrusion detection systems to identify cyberattacks in ICS networks

Bakht Sher AliCollege of Computer Science & Technology, University of Science and Technology, Hefei, 230026, ChinaInam UllahDepartment of Computer Engineering, Gachon University, Seongnam, 13120, Republic of KoreaTamara Al ShloulIzhar Ahmed KhanCollege of Computer Science & Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, ChinaIjaz KhanCollege of Computer Science & Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 211106, ChinaYazeed Yasin GhadiDepartment of Computer Science, Al Ain University, P.O. Box 112612, Abu Dhabi, UAEAkmalbek AbdusalomovDepartment of Artificial Intelligence, Tashkent State University of Economics, 100066, Tashkent, UzbekistanRashid NasimovDepartment of Artificial Intelligence, Tashkent State University of Economics, 100066, Tashkent, UzbekistanKhmaies OuahadaDepartment of Electrical and Electronic Engineering Science, School of Electrical Engineering, University of Johannesburg, Johannesburg, 2006, South AfricaHabib HamamCollege of Computer Science and Engineering, University of Ha’il, 55476, Ha’il, Saudi Arabia

The Journal of Supercomputingjournal2023en

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Network Security and Intrusion Detection Advanced Malware Detection Techniques Anomaly Detection Techniques and Applications

Identifikatorlar

DOI: 10.1007/s11227-023-05764-5

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