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·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
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The Journal of Information and Optimization Sciences (JIOS) is a world leading journal publishing high quality, rigorously peer-reviewed original research in all mathematically-oriented theoretical and applied topics in information sciences, optimization sciences and related areas since 1980. Subjects include but are not limited to:
• Information Sciences
• Optimization Sciences
• Control Theory
• Operational Research
• Decision Sciences
• Information Theory
• Information Technology
• Computer Networks and Communications
• Mathematical Programming
• Modelling and Simulation
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Issues up to 2022 co-published with and available at:
The future of electrical substation automation integrating advanced security protocols to combat emerging threats
Ponmurugan Panneerselvamponmurugan@maher.ac.inCentre for Doctoral Studies Meenakshi Academy of Higher Education and ResearchChennai, Tamil Nadu, 600078, IndiaView full profile →
, *Snehal Swapnil JawahireCorresponding authorsnehal.jawahire@vit.eduDepartment of Computer Engineering Vishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile →
, Tanveer Ahmad Wanitanveer.ahmad@niu.edu.inDepartment of Physics Noida International UniversityNoida, Uttar Pradesh, 203201, DelhiView full profile →
, Nitin Sherjesherje.nitin@gmail.comDepartment of Mechanical Engineering Dr. D. Y. Patil Institute of Technology PimpriPune, Maharashtra, 411018, IndiaView full profile →
, Kalyan Devappa Bamanekdbamane@dypcoeakurdi.ac.inDepartment of Computer Engineering D. Y. Patil College of Engineering AkurdiDepartment of Computer Engineering D. Y. Patil College of Engineering Akurdi 411044 Pune, Maharashtra, 411044, IndiaView full profile →
* Corresponding author · click or hover a name for details
Power systems are quickly becoming digitalized, which has turned substations into smart, linked automation hubs that improve stability, control, and efficiency in real time. But at the same time, this progress has created major holes in security, leaving substations open to hacking, malware, and data manipulation. This paper looks into how to add advanced security measures to substation automation systems, such as encryption, attack detection, anomaly tracking, and blockchain. It is shown how to use mathematical formulas to model new risk, rate defence systems, and measure how well integration works. Layered security strategies greatly enhance privacy, integrity, and robustness, as shown by experiments. This guarantees safe, reliable, and efficient power sharing for future smart grid systems.
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