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In the dynamic landscape of the Internet of Things (IoT), the demand for efficient lightweight cryptographic (LWC) algorithms transcends traditional security considerations. This research addresses the compelling need to explore and enhance LWC algorithms to accommodate the distinctive challenges posed by resource-constrained devices in the expansive IoT ecosystem. This study analyzes key LWC algorithms—Ascon, Gift, Elephant, Tiny Jambu, Isap, Sparkle, PHOTON-Beetle, Romulus and Grain—evaluating the performance through various metrics such as context switches, page faults, CPU utilization, and memory usage. The existing discourse on IoT security often overlooks a comprehensive evaluation of LWC algorithms, emphasizing the critical importance of this research in bridging that gap. Beyond mere security applications, the study broadens its focus to address the multifaceted challenges of optimizing cryptographic algorithms for efficiency and resource utilization within IoT environments. By examining context switches and page faults, the research sheds light on the adaptability of these algorithms to dynamic IoT contexts. Furthermore, the study introduces innovative ideas for performance enhancements, extending the scope beyond security to contribute to the overall efficiency of IoT ecosystems. This work strives to meet the evolving demands of the IoT landscape, offering insights and solutions that transcend conventional security paradigms.
Rahul et al. (Wed,) studied this question.