Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
Evolution of Networks: From Biological Nets to the Internet and WWW (Physics)
True random number generator based on mouse movement and chaotic hash function
Information Sciences: an International Journal
Secure group key agreement protocol based on chaotic Hash
Information Sciences: an International Journal
Cryptanalysis of a certificateless signcryption scheme in the standard model
Information Sciences: an International Journal
Information Sciences: an International Journal
Key updating technique in identity-based encryption
Information Sciences: an International Journal
Modelling collaboration using complex networks
Information Sciences: an International Journal
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We introduce the binary visibility graph (BVG) for mapping random binary sequences into complex networks. Several topological aspects of the constructed graphs, such as degree distribution, clustering coefficient, and mean visibility length have been thoroughly investigated. Our simulations on the probability distributions for four sample random binary sequences (RBS) confirm the reliability of the BVG for RBS analysis. Moreover, we propose the topological properties of the graph as a randomness criteria. In this way, we have presented some possible randomness tests using BVG. A comparison has been made between these tests and National Institute of Standards and Technology (NIST) tests on four samples and the results are promising. These tests can distinguish between weak and strong RBSs.