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Key Length-Oriented Classification of Lightweight Cryptographic Algorithms for IoT Security

2025/12/23 by Arsalan Vahi, Vahi, Arsalan
Computer Science · #Chaos-based Image/Signal Encryption #Cryptographic Implementations and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Physical Unclonable Functions (PUFs) and Hardware Security

paper · doi:10.48550/arxiv.2512.21368

openalex publication_date 2025/12/23 · openalex created_date 2025/12/30 · openalex updated_date 2026/07/28

Abstract

The successful deployment of the Internet of Things (IoT) applications relies heavily on their robust security, and lightweight cryptography is considered an emerging solution in this context. While existing surveys have been examining lightweight cryptographic techniques from the perspective of hardware and software implementations or performance evaluation, there is a significant gap in addressing different security aspects specific to the IoT environment. This study aims to bridge this gap. This research presents a thorough survey focused on the security evaluation of symmetric lightweight ciphers commonly used in IoT systems. The objective of this study is to provide a holistic understanding of lightweight ciphers, emphasizing their security strength, which is an essential consideration for real-time and resource-constrained applications. Furthermore, we propose two taxonomies: one for classifying IoT applications based on their inherent characteristics, and another for evaluating security levels based on key size. Our findings indicate that key size is a critical parameter in the security of lightweight ciphers. Ciphers employing keys shorter than 128 bits are considered less secure or even insecure for protecting sensitive data

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