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Review of the Lineal Complexity Calculation through Binomial Decomposition-Based Algorithms

PRNG
binomial sequences
complexity
stream ciphers
Internet of Things - IoT
J. L. Martin-Navarro, A. Fúster-Sabater
Mathematics, vol. 9(5), 478, February 2021
https://doi.org/10.3390/math9050478

The ubiquity of smart devices and IoT are the main forces behind the development of cryptographic primitives that preserve the security of this devices, with the resources constraints they face. In this sense, the development of lightweight cryptographic algorithms, where PRNGs are an essential part of them, provides security to all these interconnected devices. In this work, a family of sequence generators with hard characteristics to be analyzed by standard methods is described. Moreover, we introduce an innovative technique for sequence decomposition that allows one to extract useful information on the sequences under study. In addition, diverse algorithms to evaluate the strength of such binary sequences have been introduced and analyzed to show which performs better.

Keywords: PRNG; binomial sequences; complexity; stream ciphers; IoT

Funding

Research partially supported by Ministerio de Economía, Industria y Competitividad, Agencia Estatal de Investigación, and Fondo Europeo de Desarrollo Regional (FEDER, UE) under project COPCIS (TIN2017-84844-C2-1-R) and by Comunidad de Madrid (Spain) under project CYNAMON (P2018/TCS-4566), also co-funded by European Union FEDER funds.

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