Design and implementation of secure communication protocols for enhanced information security in financial transactions
*Deepak T. ManeCorresponding authordtmane@gmail.comDepartment of Computer EngineeringVishwakarma Institute of TechnologyPune, Maharashtra, 411037, IndiaView full profile → , Rohit Bakshidirector@sims.eduSymbiosis Institute of Management StudiesSymbiosis International UniversityPune, Maharashtra, 411020, IndiaView full profile → , Govinda B. Sambaresantosh.sambare@pccoepune.orgDepartment of Computer EngineeringPimpri Chinchwad College of EngineeringPune, Maharashtra, 411044, IndiaView full profile → , Deepak R. Moredeepakmore80@gmail.comUniversity of MumbaiMumbai, Maharashtra, 400032, IndiaView full profile → , Seema Kedarsvkedar_comp@jspmrscoe.edu.inDepartment of Computer EngineeringJSPM’S Rajarshi Shahu College of EngineeringPune, Maharashtra, 411033, IndiaView full profile → , Rucha Chetan Samantruchasamant25@gmail.comDepartment of MCAFaculty of EngineeringGES’s, R . H. Sapat College of Engineering, Management Studies and ResearchNashik, Maharashtra, 422005, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Received:
- 06 Nov 2024
- Published Online:
- 30 Aug 2025
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JDMSC-2177
- Pages:
- 1771–1780
Abstract
Keywords
Subject Classifications
References
[1] R. P. D. Redondo, A. F. Vilas, M. R. Merino, S. M. V. Rodríguez, S. T. Guijarro, and M. M. Hafez, “Anti-sexism alert system: Identification of sexist comments on social media using AI techniques,” Appl. Sci., vol. 13, no. 8, p. 4341 (2023).
[2] M. González-Soto, R. P. Díaz-Redondo, M. Fernández-Veiga, B. Fernández-Castro, and A. Fernández-Vilas, “Decentralized and collaborative machine learning framework for IoT,” Comput. Netw., vol. 239, p. 110137 (2024).
[3] S. Malta, P. Pinto, and M. Fernandez-Veiga, “Using reinforcement learning to reduce energy consumption of ultra-dense networks with 5G use cases requirements,” IEEE Access, vol. 11, pp. 5417–5428 (2023).
[4] L. M. Paladino, A. Hughes, A. Perera, O. Topsakal, and T. C. Akinci, “Evaluating the performance of automated machine learning (AutoML) tools for heart disease diagnosis and prediction,” AI, vol. 4, no. 4, pp. 1036–1058 (2023).
[5] M. Abumohsen, A. Y. Owda, and M. Owda, “Electrical load forecasting based on random forest, XGBoost, and linear regression algorithms,” in Proc. 2023 Int. Conf. Inf. Technol.: Cybersecurity Challenges for Sustainable Cities (ICIT), Amman, Jordan, Aug. 9–10, pp. 25–31 (2023).
[6] H. Paananen, M. Lapke, and M. Siponen, “State of the art in information security policy development,” Comput. Secur., vol. 88, p. 101608 (2020).
[7] M. Weiss and F. Biermann, “Cyberspace and the protection of critical national infrastructure,” J. Econ. Policy Reform, pp. 1–18 (2021).
[8] W. Hatcher, W. L. Meares, and J. Heslen, “The cybersecurity of municipalities in the United States: An exploratory survey of policies and practices,” J. Cyber Policy, vol. 5, no. 3, pp. 302–325 (2020).
[9] Y. I. Alzoubi, A. Al-Ahmad, and A. Jaradat, “Fog computing security and privacy issues, open challenges, and blockchain solution: An overview,” Int. J. Electr. Comput. Eng., vol. 11, no. 6, pp. 5081–5088 (2021).




