The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Real-Time AI-Based Security Monitoring for Industrial Control Systems
|
|
Author(s): Saurabh Singhal (Engineering Institute, Greater Noida Institute of Technology, India), Sandeep Singh Sikarwar (Maldives Business School, Malé, Maldives), Ajeet Kumar Sharma (Sharda School of Computing Sciences and Engineering, Sharda University, Greater Noida, India), Aman Kumar Kumar (Sharda School of Computing Sciences and Engineering, Sharda University, Greater Noida, India), Avinash Kumar Kumar Sharma (Sharda School of Computing Sciences and Engineering, Sharda University, Greater Noida, India)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, Ghaziabad, India)
Copyright: 2025
Pages: 20
Source title:
AI-Enhanced Cybersecurity for Industrial Automation
Source Author(s)/Editor(s): Hari Mohan Pandey (Bournemouth University, UK)and Pawan Kumar Goel (Raj Kumar Goel Institute of Technology, India)
DOI: 10.4018/979-8-3373-3241-3.ch013
Purchase
|
Abstract
Industry systems controlling power generation operations together with water distribution and manufacturing facilities form a connected network similar to a massive web infrastructure. The Industrial Control Systems referred to as ICS serve vital functions although they remain at constant risk of stealthy cyberattacks. Hacker strikes result in more than financial loss and temporary shutdowns since they endanger human lives. Modern defenses based on firewalls or intrusion detection systems have become insufficient to protect industrial systems. Real-Time AI-Based Security Monitoring emerges to rescue operations through its rescue mission. A super-smart guard dog equipped with machine learning and deep learning analyses suspicious activity by detecting abnormal user behavior to arrest offenders while performing automatically in real-time operations. Unlike ordinary systems that depend on set rules this AI system acquires information directly from its past activities while shifting its detection methods to face new hacker strategies.
Related Content
|
Frederic Andres.
© 2027.
14 pages.
|
|
Kalsoom Safdar, Khairul Najmy Abdul Rani, Mohd Aminudin Jamlos, Siti Julia Rosli, Muhammad Usman Younus, Zanab Safdar.
© 2027.
27 pages.
|
|
Bani Adam, Binastya Anggara Sekti, Muhammad Adi Zacky Zahran.
© 2027.
24 pages.
|
|
Swetha Margaret T. A., Renuka Devi D..
© 2027.
31 pages.
|
|
Maurice Saluschke, Michael Schulz.
© 2027.
30 pages.
|
|
Mirjam Sepesy Maučec, Gregor Donaj.
© 2027.
16 pages.
|
|
Jorge A. Ruiz-Vanoye, Ocotlan Diaz-Parra, Ricardo A. Barrera-Cámara, Alejandro Fuentes-Penna, Francisco R. Trejo-Macotela, Jaime Aguilar-Ortiz, Eric Simancas-Acevedo.
© 2027.
21 pages.
|
|
|