Lightweight Cryptanalysis of IoT Encryption Algorithms : Is Quota Sampling the Answer?
arxiv(2024)
摘要
Rapid growth in the number of small sensor devices known as the Internet of
Things (IoT) has seen the development of lightweight encryption algorithms. Two
well-known lightweight algorithms are SIMON and SIMECK which have been
specifically designed for use on resource-constrained IoT devices. These
lightweight encryption algorithms are based on the efficient Feistel block
structure which is known to exhibit vulnerabilities to differential
cryptanalysis. Consequently, it is necessary to test these algorithms for
resilience against such attacks. While existing state-of-the-art research has
demonstrated novel heuristic methods of differential cryptanalysis that improve
time efficiency on previous techniques, the large state sizes of these
encryption algorithms inhibit cryptanalysis time efficiency. In this paper, we
introduce Versatile Investigative Sampling Technique for Advanced Cryptanalysis
(VISTA-CRYPT) - a time-efficient enhancement of differential cryptanalysis of
lightweight encryption algorithms. The proposed technique introduces a simple
framework of quota sampling that produces state-of-the-art results with time
reductions of up to 76% over existing techniques. Further, we present a
preliminary graph-based analysis of the output differentials for the
identification of relationships within the data and future research
opportunities to further enhance the performance of differential cryptanalysis.
The code designed for this work and associated datasets will be available at
https://github.com/johncook1979/simon-cryptanalysis.
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