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Article

Folding-BSD Algorithm for Binary Sequence Decomposition

1
Department of Computer Science, School of Science, Aalto University, 02150 Espoo, Finland
2
Instituto de Tecnologías Físicas y de la Información, C.S.I.C., 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Current address: Spanish National Research Council (CSIC), Serrano 144, 28006 Madrid, Spain.
Received: 15 November 2020 / Revised: 9 December 2020 / Accepted: 9 December 2020 / Published: 15 December 2020
(This article belongs to the Special Issue Selected Papers from ICCSA 2020)
The Internet of Things (IoT) revolution leads to a range of critical services which rely on IoT devices. Nevertheless, they often lack proper security, becoming the gateway to attack the whole system. IoT security protocols often rely on stream ciphers, where pseudo-random number generators (PRNGs) are an essential part of them. In this article, a family of ciphers with strong characteristics that make them difficult to be analyzed by standard methods is described. In addition, we will discuss an innovative technique of sequence decomposition and present a novel algorithm to evaluate the strength of binary sequences, a key part of the IoT security stack. The density of the binomial sequences in the decomposition has been studied experimentally to compare the performance of the presented algorithm with previous works. View Full-Text
Keywords: PRNG; LFSR; binomial sequences; stream ciphers; IoT PRNG; LFSR; binomial sequences; stream ciphers; IoT
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MDPI and ACS Style

Martin-Navarro, J.L.; Fúster-Sabater, A. Folding-BSD Algorithm for Binary Sequence Decomposition. Computers 2020, 9, 100. https://0-doi-org.brum.beds.ac.uk/10.3390/computers9040100

AMA Style

Martin-Navarro JL, Fúster-Sabater A. Folding-BSD Algorithm for Binary Sequence Decomposition. Computers. 2020; 9(4):100. https://0-doi-org.brum.beds.ac.uk/10.3390/computers9040100

Chicago/Turabian Style

Martin-Navarro, Jose L., and Amparo Fúster-Sabater. 2020. "Folding-BSD Algorithm for Binary Sequence Decomposition" Computers 9, no. 4: 100. https://0-doi-org.brum.beds.ac.uk/10.3390/computers9040100

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