Cryptography algorithms for enhancing security in IoT based Mafly-MPPT system under partial shading conditions

Pragathi, B.; Rao, B. K. Karunakar; Rao, L. Shanmukha; Kumar, Y. Anil; Pandraju, Thandava Krishna Sai; Chinta, Anil Kumar

doi:10.47974/JDMSC-2074

Open Access Research Article

Cryptography algorithms for enhancing security in IoT based Mafly-MPPT system under partial shading conditions

^*B. PragathiCorresponding authorpragathibellamkonda@gmail.comDepartment of Electronics and Communication EngineeringDVR & Dr. HS MIC College of TechnologyKanchikacherla, Andhra Pradesh, 521180, IndiaView full profile → , B. K. Karunakar Raokarunakarphdau@gmail.comDepartment of Electrical and Electronics EngineeringDVR & Dr. HS MIC College of TechnologyKanchikacherla, Andhra Pradesh, 521180, IndiaView full profile → , L. Shanmukha Raolsrlingineni@gmail.comDepartment of Electrical and Electronics EngineeringKallam Haranadhareddy Institute of TechnologyGuntur, Andhra Pradesh, 522019, IndiaView full profile → , Y. Anil KumarDepartment of Electrical and Electronics EngineeringVignana Bharathi Institute of TechnologyHyderabad, Telangana, 501301, IndiaView full profile → , Thandava Krishna Sai PandrajuDepartment of Electrical and Electronics EngineeringDhanekula Institute of Engineering and TechnologyVijayawada, Andhra Pradesh, 521139, IndiaView full profile → , Anil Kumar ChintaDepartment of Electrical and Electronics EngineeringDhanekula Institute of Engineering and TechnologyVijayawada, Andhra Pradesh, 521139, IndiaView full profile →

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pp. 1991–2003Vol. 27Issue 7October 2024DOI: 10.47974/JDMSC-2074 Crossmark XML

Received:: 12 Mar 2024
Published Online:: 15 Oct 2024
Article type:: Research Article
Language:: EN
Article no.:: JDMSC-2074
Pages:: 1991–2003

Abstract

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.

Keywords

Cryptography IoT MPPT Partial Shading Mayfly algorithm PV

Subject Classifications

18M3532U35

References

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