Open Access
·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667
Powered by:DOICrossrefiThenticate
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
• Database Management
• Applications to Engineering Sciences
• Applications to Technology
Issues up to 2022 co-published with and available at:
Designing effective monitoring tools to enhance information security in critical power system infrastructures
Tulshihar Patiltbpatil@bvucoep.edu.inDepartment of Computer Engineering College of Engineering Bharati Vidyapeeth (Deemed to be University) Pune, Maharashtra, 411043, IndiaView full profile →
, Shashank Joshishashank.Joshi@bharatividyapeeth.eduDepartment of Computer Engineering College of Engineering Bharati Vidyapeeth (Deemed to be University) Pune, Maharashtra, 411043, IndiaView full profile →
, Neha Bonsaleneha.bonsale@bharatividyapeeth.eduDepartment of Information Technology Bharati Vidyapeeth’s College of Engineering for WomenPune, Maharashtra, 411043, IndiaView full profile →
, Datta S. Chavangreenearth1234@yahoo.comDepartment of Electrical and Computer Engineering College of Engineering Bharati Vidyapeeth (Deemed to be University)Pune, Maharashtra, 411043, IndiaView full profile →
, Pravin B. Jarandepjarande@bvucoep.edu.inDepartment of Electronics and Telecommunication Engineering College of Engineering Bharati Vidyapeeth (Deemed to be University)Pune, Maharashtra, 411043, IndiaView full profile →
, *A. Y. PrabhakarCorresponding authorayprabhakar@bvucoep.edu.inDepartment of Electronics and Telecommunication Engineering College of Engineering Bharati Vidyapeeth (Deemed to be University)Pune, Maharashtra, 411043, IndiaView full profile →
* Corresponding author · click or hover a name for details
Critical power system assets are becoming more and more digital, which makes them much more vulnerable to online dangers. Traditional tracking methods often can’t find strikes that are planned or done in secret, so more advanced methods are needed. This work proposes a scientifically robust methodology for effective tracking that integrates graph-theoretic modelling, state estimation, and probabilistic reasoning. Statistical theories are used to build intruder and anomaly detection algorithms, and assessment metrics reveal how accurate and reliable the detection is. At result we found that the deep neural network (DNN) are better than the machine learning model to discovering the pattern and effective for monitoring.
[1] M. S. S. Danish, “AI in Energy: Overcoming Unforeseen Obstacles,” AI, vol. 4, pp. 406–425 (2023).[2] B. Garlik, “Energy Centers in a Smart City as a Platform for the Application of Artificial Intelligence and the Internet of Things,” Appl. Sci., vol. 12, no. 3386 (2022).[3] M. Dhanaraju, P. Chenniappan, K. Ramalingam, S. Pazhanivelan, and R. Kaliaperumal, “Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture,” Agriculture, vol. 12, no. 1745 (2022).[4] V. Stoicescu, T. I. Bițoiu, and C. Vrabie, “The Smart Community: Strategy Layers for a New Sustainable Continental Framework,” Smart Cities, vol. 6, pp. 410–444 (2023).[5] M. F. Rabbi, J. Popp, D. Máté, and S. Kovács, “Energy Security and Energy Transition to Achieve Carbon Neutrality,” Energies, vol. 15, no. 8126 (2022).[6] I. Sotnyk, T. Kurbatova, Y. Romaniuk, O. Prokopenko, V. Gonchar, Y. Sayenko, G. Prause, and A. Sapiński, “Determining the Optimal Directions of Investment in Regional Renewable Energy Development,” Energies, vol. 15, no. 3646 (2022).[7] J. A. G. Hernández, P. G. Teodoro, R. M. Carrión, and R. R. Gómez, “Crypto-Ransomware: A Revision of the State of the Art, Advances and Challenges,” Electronics, vol. 12, no. 4494 (2023).[8] C. Zhou, B. Hu, Y. Shi, Y.-C. Tian, X. Li, and Y. Zhao, “A Unified Architectural Approach for Cyberattack-Resilient Industrial Control Systems,” Proc. IEEE, vol. 109, pp. 517–541 (2021).[9] Ö. Aslan, S. S. Aktuğ, M. Ozkan-Okay, A. A. Yilmaz, and E. Akin, “A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions,” Electronics, vol. 12, no. 1333 (2023).[10] M. Domínguez, J. J. Fuertes, M. A. Prada, S. Alonso, A. Morán, and D. Pérez, “Design of Platforms for Experimentation in Industrial Cybersecurity,” Appl. Sci., vol. 12, no. 6520 (2022).[11] P. Singh, M. Kumar, N. Sharma, P. Kumar, and Shweta, “Study of cyber threat intelligence, risk management and methods,” J. Inf. Optim. Sci., vol. 46, no. 1, pp. 65–74 (2025), doi: 10.47974/JIOS-1852.[12] U. Nigam, V. M. Patel, D. P. Patel, and G. Vadodaria, “HEC-HMS based mathematical model for Sabarmati and Mahi river basin and land cover analysis using Q-GIS,” J. Inf. Optim. Sci., vol. 46, no. 2, pp. 317–328 (2025), doi: 10.47974/JIOS-1916.[13] E. Katya and S. R. Rahman, “Deep Generative Models for Synthetic Data Generation and Augmentation,” Int. J. Adv. Comput. Eng. Commun. Technol. (IJACECT), vol. 13, no. 1, pp. 20–25 (Mar. 2025).[14] I. Mohan, M. Venkataraman, and K. Thilagavathi, “Investigating utilizations of harmonic univalent functions employing the Prabhakar fractional operator within specific categories,” J. Interdiscip. Math., vol. 27, no. 5, pp. 1099–1108 (2024).[15] C. D. Kokane, S. D. Babar, P. N. Mahalle, and S. P. Patil, “Word sense disambiguation: Mathematical modelling of adaptive word embedding technique for word vector,” J. Interdiscip. Math., vol. 26, no. 3, pp. 475–482 (2023).
Views: 103Downloads: 7Citations: 0
Install Journal of Information and Optimization SciencesFaster access from your home screen
