An Optimized SIMON Lightweight Image Encryption Algorithm for Internet of Things: Balancing Performance and Security
Abhay Verma, Surmila Thokchom · 2024
The paper presents an optimized SIMON lightweight cryptographic algorithm that balances security, performance, and cost in contexts with limited resources. By lowering the computational cost and preserving strong security characteristics, the suggested changes make the algorithm appropriate for use in embedded systems, Internet of Things (IoT) devices, and mobile platforms. To improve encryption efficiency, changes have been made, such as fewer bit shift operations and the consolidation of bit-wise functions. A thorough evaluation process is applied to the updated algorithm, which involves calculating measures like information entropy, UACI (Unified Average Changing Intensity), and NPCR (Normalized Pixel Change Rate). Empirical findings show that the optimized SIMON algorithm significantly increases encryption efficiency and speed while maintaining the security of the algorithm.