Lightweight AI-supported ECC algorithms for security in IoT and edge devices
C. M. AnishDepartment of Computer Applications National Institute of Technology Raipur 492010 Chhattisgarh IndiaArchana J. JadhavDepartment of Information Technology, JSPM’s Rajarshi Shahu College of Engineering, Pimpri-Chinchwad, Maharashtra, 411033, IndiaHarshal N. DatirGS MateDepartment of Information Technology, JSPMs Rajarshi Shahu College of Engineering, Pune, Maharashtra, 411033, IndiaAnorgul AshirovaGeneral Professional Sciences, Mamun University, Khiva, 220900, UzbekistanAsha RawatDepartement of Computer Engineering, NMIMS Deemed-to-be-University, Mumbai, Maharashtra, 400056, India
2026en
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ABI
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As the number of IoT and edge devices develops swiftly, security solutions need to be both light and powerful. This study suggests using Elliptic Curve Cryptography (ECC) approaches that are supported by AI and operate best in small places. The proposed method enhance the speed of key generation, encryption, and interpreting while maintaining high ranges of safety by using AI-based optimization techniques. As compared to conventional ECC techniques, the effects of the experiments display big modifications in processing speed and less use of assets. This works allows protecting the technology of internet of things (IoT) structures with energy-saving encryption methods that use AI to enhance them.
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