Cryptanalysis of the SIMON Cypher Using Neo4j
arxiv(2024)
摘要
The exponential growth in the number of Internet of Things (IoT) devices has
seen the introduction of several Lightweight Encryption Algorithms (LEA). While
LEAs are designed to enhance the integrity, privacy and security of data
collected and transmitted by IoT devices, it is hazardous to assume that all
LEAs are secure and exhibit similar levels of protection. To improve encryption
strength, cryptanalysts and algorithm designers routinely probe LEAs using
various cryptanalysis techniques to identify vulnerabilities and limitations of
LEAs. Despite recent improvements in the efficiency of cryptanalysis utilising
heuristic methods and a Partial Difference Distribution Table (PDDT), the
process remains inefficient, with the random nature of the heuristic inhibiting
reproducible results. However, the use of a PDDT presents opportunities to
identify relationships between differentials utilising knowledge graphs,
leading to the identification of efficient paths throughout the PDDT. This
paper introduces the novel use of knowledge graphs to identify intricate
relationships between differentials in the SIMON LEA, allowing for the
identification of optimal paths throughout the differentials, and increasing
the effectiveness of the differential security analyses of SIMON.
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