Research the Level of Chaotic and Reliability in Webcam-generated Random Number Sequences

Authors

DOI:

https://doi.org/10.31861/sisiot2024.1.01004

Keywords:

software engineering, chaos, crypto-resistance, software reliability, random number generator

Abstract

Engineering and software solutions in the sphere of software engineering, in particular cryptography, constantly require the use of random sequences in their algorithms. Usually, standard methods of frameworks, software platforms, libraries and programming languages do not provide the necessary level of randomness of generated number sequences. Basically, the randomness of software generators of random sequences is based on a value of a certain system parameter, for example, the value of the current date and time. It is obvious that with simple cyber-attacks it is possible to put the crypto-resistance of the system at risk. To solve this problem, the property of the webcam to generate the same image from a state frame is used. It is shown that the fact of changing values of illumination created by pixels differs by at least 63% for two consecutive frames 100 milliseconds gap in complete darkness, the level of the avalanche effect exceeds the crypto-resistance requirement by 13%. Thus, we can talk about a high level of chaos and randomness of the generated numerical sequences. Frame generation was carried out both in complete darkness with an illumination of 10-4 lux, and in a uniformly illuminated (200 lux) white surface. Testing the camera under extreme conditions gives a complete picture of the unpredictability and chaos in the generation of random sequences. It is hypothesized that this approach theoretically allows a generation of random number sequences at a speed of 1.25 Gbit/s, and a mixed software-hardware solution is able to provide up to 10 Gbit/s. The approach built on this property of a webcam can provide a way to solve the problem of designing an affordable low-cost, crypto-resistant high-speed hardware random number generator in laboratory conditions without the involvement of a special equipment.

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Author Biographies

  • Rostyslav Diachuk, Yuriy Fedkovych Chernivtsi National University

    Had received BS and MS degrees in Software Engineering Department from Yuriy Fedkovych Chernivtsi National University. He worked as an assistant of the Software Engineering Department, but currently studying Ph.D on the same department. His research interests include cryptography, pseudorandom sequence systems.

  • Yuriy Dobrovolsky, Yuriy Fedkovych Chernivtsi National University

    Graduated from the Faculty of Physics and Mathematics in 1984. Received the degree of Doctor of Technical Sciences. Currently, he is a professor at the department of software engineering at Yuri Fedkovich Chernivtsi National University. His research interests include software reliability engineering, cryptography, coding theory, hardware random number sequence generation.

  • Dmytro Hanzhelo, Yuriy Fedkovych Chernivtsi National University

    Now is studying on a Ph.D. in Computer Science, Yuriy Fedkovych Chernivtsi National University. He is currently a security practitioner, mentor, and part-time lecturer.  His research interests include cybersecurity, cryptography, random number sequences generation.

  • Heorhii Prokhorov, Yuriy Fedkovych Chernivtsi National University

    He had received a Ph.D. in physics and mathematics in 2006. Now is a Assistant Professor of Software Engineering Department, Yuriy Fedkovych Chernivtsi National University. His research interests include cryptography, coding theory, hardware random number sequences generation.

  • Denis Trembach, Yuriy Fedkovych Chernivtsi National University

    Had received BS and MS degrees in Information Security from Evropejs'kij Universitet Financiv, Ukraine. Now is studying on a Ph.D. in Computer Science, Yuriy Fedkovych Chernivtsi National University. He is currently a security practitioner, mentor, and part-time lecturer. His research interests include cybersecurity, applied AI, chaotic systems dynamics.

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Published

2024-08-30

Issue

Vol. 2 No. 1 (2024)

Section

Articles

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Copyright (c) 2024 Security of Infocommunication Systems and Internet of Things

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
R. Diachuk, Y. Dobrovolsky, D. Hanzhelo, H. Prokhorov, and D. Trembach, “Research the Level of Chaotic and Reliability in Webcam-generated Random Number Sequences”, SISIOT, vol. 2, no. 1, p. 01004, Aug. 2024, doi: 10.31861/sisiot2024.1.01004.