journal-of-discrete-mathematical-sciences-and-cryptography Journal of Discrete Mathematical Sciences and Cryptography 2169-0065 0972-0529 Taru Publications 10.47974/JDMSC-2074 Cryptography algorithms for enhancing security in IoT based Mafly-MPPT system under partial shading conditions Pragathi B. Department of Electronics and Communication Engineering, DVR & Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, 521180, India Rao B. K. Karunakar Department of Electrical and Electronics Engineering, DVR & Dr. HS MIC College of Technology, Kanchikacherla, Andhra Pradesh, 521180, India Rao L. Shanmukha Department of Electrical and Electronics Engineering, Kallam Haranadhareddy Institute of Technology, Guntur, Andhra Pradesh, 522019, India Kumar Y. Anil Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Telangana, 501301, India Pandraju Thandava Krishna Sai Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, 521139, India Chinta Anil Kumar Department of Electrical and Electronics Engineering, Dhanekula Institute of Engineering and Technology, Vijayawada, Andhra Pradesh, 521139, India 27 7 1991 2003 15 10 2024

In the realm of renewable energy, the integration of Internet of Things (IoT) technologies with Maximum Power Point Tracking (MPPT) systems has gained significant attention for optimizing photovoltaic (PV) performance, especially under partial shading conditions. However, the increased interconnectivity also introduces substantial cybersecurity risks. This paper presents a comprehensive study on the implementation of advanced cryptography algorithms to enhance the security framework of IoT-enabled Mafly-MPPT systems. By safeguarding data integrity and ensuring secure communication between system components, the proposed cryptographic solutions mitigate potential threats and vulnerabilities. Through extensive simulation and analysis, the study demonstrates the effectiveness of the algorithms in maintaining system efficiency and resilience in dynamic environmental conditions, highlighting the critical role of robust security measures in the future of renewable energy systems.

 Cryptography IoT MPPT Partial Shading Mayfly algorithm PV access open retracted no