Next Article in Journal
Multiple View Relations Using the Teaching and Learning-Based Optimization Algorithm
Next Article in Special Issue
Design and Evaluation of Anthropomorphic Robotic Hand for Object Grasping and Shape Recognition
Previous Article in Journal
Toward Smart Lockdown: A Novel Approach for COVID-19 Hotspots Prediction Using a Deep Hybrid Neural Network
Previous Article in Special Issue
CogniSoft: A Platform for the Automation of Cognitive Assessment and Rehabilitation of Multiple Sclerosis

Folding-BSD Algorithm for Binary Sequence Decomposition

Department of Computer Science, School of Science, Aalto University, 02150 Espoo, Finland
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
Show Figures

Figure 1

MDPI and ACS Style

Martin-Navarro, J.L.; Fúster-Sabater, A. Folding-BSD Algorithm for Binary Sequence Decomposition. Computers 2020, 9, 100.

AMA Style

Martin-Navarro JL, Fúster-Sabater A. Folding-BSD Algorithm for Binary Sequence Decomposition. Computers. 2020; 9(4):100.

Chicago/Turabian Style

Martin-Navarro, Jose L., and Amparo Fúster-Sabater. 2020. "Folding-BSD Algorithm for Binary Sequence Decomposition" Computers 9, no. 4: 100.

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop