Integrating AI-driven mathematical modeling for social and environmental impact assessment
Indrani Hazarikaihazarika@hct.ac.aeDepartment of Business and Specialization Accounting Higher Colleges of TechnologyAbu Dhabi, 25026, United Arab EmiratesView full profile → , Smita Gambhiresmitagambhire@csmu.ac.inDepartment of Computer Science & Information Technology Chhatrapati Shivaji Maharaj UniversityNavi Mumbai, Maharashtra, 410206, IndiaView full profile → , Robert Halamrobert.halam@symlaw.ac.inSymbiosis Centre for Advanced Legal Studies and Research (SCALSAR) Symbiosis Law School Pune (SLS-P) Symbiosis International (Deemed University)Symbiosis Centre for Advanced Legal Studies and Research Symbiosis Law School Pune (SLS-P) Symbiosis International (Deemed University) Pune, Maharashtra, 411014, IndiaView full profile → , *Santosh H. LavateCorresponding authorlavate.santosh@gmail.comDepartment of Electronics and Telecommunication Engineering AISSMS College of EngineeringPune, Maharashtra, 411001, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 01 Apr 2025
- Published Online:
- 18 Mar 2026
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIM-2498
- Pages:
- 637–644
Abstract
Keywords
Subject Classifications
References
[1] D. Javeed, U. M. Badamasi, T. Iqbal, A. Umar, and C. O. Ndubuisi, “Threat detection using machine/deep learning in IoT environments,” International Journal of Computer Networks and Communications Security, vol. 8, pp. 59–65 (2020).
[2] K. H. Le, M. H. Nguyen, T. D. Tran, and N. D. Tran, “IMIDS: An intelligent intrusion detection system against cyber threats in IoT,” Electronics, vol. 11, pp. 524 (2022).
[3] F. M. Alrowais, S. Althahabi, S. S. Alotaibi, A. Mohamed, M. A. Hamza, and R. Marzouk, “Automated Machine Learning Enabled Cybersecurity Threat Detection in Internet of Things Environment,” Computer Systems Science and Engineering, vol. 45, pp. 687–700 (2023).
[4] P. E. Bhakve, A. N. Jambhale, and V. S. Kumbhar, “Online Payment Fraud Detection using Machine Learning,” International Journal of Advanced Electronics and Communication Engineering (IJAECE), vol. 14, no. 1, pp. 1–7 (Apr. 2025).
[5] M. R. Labu and M. F. Ahammed, “Next-Generation Cyber Threat Detection and Mitigation Strategies: A Focus on Artificial Intelligence and Machine Learning,” Journal of Computer Science and Technology Studies, vol. 6, pp. 179–188 (2024).
[6] P. K. Shukla, S. V. Pandit, C. Gandhi, M. Alrizq, A. Alghamdi, P. K. Shukla, and A. Rizwan, “Effective privacy preserving model based on adversarial CNN with IBOA in the social IoT systems for CEC,” International Journal of Communication Systems, vol. 2024, pp. e5669 (2024).
[7] R. Chataut, A. Phoummalayvane, and R. Akl, “Unleashing the Power of IoT: A Comprehensive Review of IoT Applications and Future Prospects in Healthcare, Agriculture, Smart Homes, Smart Cities, and Industry 4.0,” Sensors, vol. 23, pp. 7194 (2023).
[8] L. Tawalbeh, F. Muheidat, M. Tawalbeh, and M. Quwaider, “IoT Privacy and Security: Challenges and Solutions,” Applied Sciences, vol. 10, pp. 4102 (2020).
[9] S.-H. Lee, Y.-L. Shiue, C.-H. Cheng, Y.-H. Li, and Y.-F. Huang, “Detection and Prevention of DDoS Attacks on the IoT,” Applied Sciences, vol. 12, pp. 12407 (2022).
[10] Q. Wang, P. Geng, H. Qiu, J. Zhang, and R. Zhao, “Development of intelligent automatic water intake system for open-pit mine,” Journal of Physics: Conference Series, vol. 2591, pp. 012057 (2023).
[11] A. Balaji, N. N. V. Gopi Chand, P. H. V. Hasmitha, and M. Viswa Prakash, “Power quality enhancement in renewable energy-based distributed generation using DPFC,” International Journal for Interdisciplinary Sciences and Engineering Applications (IJISEA), vol. 6, no. 2, pp. 46–51 (2025).
[12] P. Sahane, M. Gulhane, N. Rakesh, S. M. M. Naidu, M. Grover, and V. Mahajan, “Evaluating lightweight encryption schemes for resource-constrained devices in wireless sensor networks,” Journal of Discrete Mathematical Sciences and Cryptography, vol. 28, no. 5-A, pp. 1803–1812 (2025), doi: 10.47974/JDMSC-2180.




