Top

Automatic Control and Computer Sciences

Published in:

01-12-2020

Lattice-Based Ring Signature with Linking-Based Revocation for Industrial Internet of Things

Authors: E. B. Aleksandrova, I. Sh. Rekhviashvili, A. V. Yarmak

Published in: Automatic Control and Computer Sciences | Issue 8/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract—

Ring signature augmented by revocation with controlled linkability is proposed. The possibility of using this approach in the Smart Grid as an example of Industrial Internet of Things systems is discussed.

previous article An Approach to Assessing Information Security Effectiveness in Control Systems

next article On Improving the Reliability and Information Security of Information Transmission Systems in Communication Channels of an Unmanned Vessel

Dakhnovich, A.D., Moskvin, D.A., and Zegzhda, D.P., Analysis of the information security threats in the digital production networks, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 1071–1075.CrossRef

Pavlenko, E., Zegzhda, D., and Styrkina, A., Estimating the sustainability of cyber-physical systems based on spectral graph theory, 2019 IEEE International Black Sea Conference on Communications and Networking, 2019. https://doi.org/10.1109/BlackSeaCom.2019.8812826

Pavlenko, E. and Zegzhda, D., Sustainability of cyber-physical systems in the context of targeted destructive influences, IEEE Industrial Cyber-Physical Systems, 2018, pp. 830–834.CrossRef

Kalinin, M.O. and Minin, A.A., Security evaluation of a wireless ad-hoc network with dynamic topology, Autom. Control Comput. Sci., 2017, vol. 51, no. 8, pp. 899–901.CrossRef

Ovasapyan, T.D., Moskvin, D.A., and Kalinin, M.O., Using neural networks to detect internal intruders in vanets, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 954–958.CrossRef

Demidov, R.A., Zegzhda, P.D., and Kalinin, M.O., Threat analysis of cyber security in wireless adhoc networks using hybrid neural network model, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 971–976.CrossRef

Kalinin, M., Krundyshev, V., and Zubkov, E., Estimation of applicability of modern neural network methods for preventing cyberthreats to self-organizing network infrastructures of digital economy platforms, SHS Web Conf., 2018, vol. 44. https://doi.org/10.1051/shsconf/20184400044

Krundyshev, V. and Kalinin, M., Hybrid neural network frame work for detection of cyber attacks at smart infrastructures, Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, 2019, pp. 129–135.

Kalinin, M.O., Zubkov, E.A., Suprun, A.F., and Pechenkin, A.I., Prevention of attacks on dynamic routing in self-organizing adhoc networks using swarm intelligence, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 977–983.CrossRef

10.

Lavrova, D., Zegzhda, D., and Yarmak, A., Using GRU neural network for cyber-attack detection in automated process control systems, IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Sochi, 2019, pp. 1–3.

11.

Zegzhda, P.D., Malyshev, E.V., and Pavlenko, E.Y., The use of an artificial neural network to detect automatically managed accounts in social networks, Autom. Control Comput. Sci., 2017, vol. 51, no. 8, pp. 874–880.CrossRef

12.

Belenko, V., Krundyshev, V., and Kalinin, M., Intrusion detection for Internet of Things applying metagenome fast analysis, Proceedings of the 3rd World Conference on Smart Trends in Systems, Security and Sustainability, 2019, pp. 129–135.

13.

El-hajj, M., et al., A survey of Internet of Things (IoT) authentication schemes, Sensors, 2019, vol. 19, no. 5, p. 1141.CrossRef

14.

Busygin, A.G., Konoplev, A.S., and Kalinin, M.O., Approaches to protection of applications based on the TLS protocol against attacks using revoked certificates, Autom. Control Comput. Sci., 2016, vol. 50, no. 8, pp. 743–748.CrossRef

15.

Busygin, A., Konoplev, A., Kalinin, M., and Zegzhda, D., Floating genesis block enhancement for blockchain based routing between connected vehicles and software-defined VANET security services, ACM International Conference Proceeding Series, 2018. https://doi.org/10.1145/3264437.3264463

16.

17.

Aleksandrova, E.B., Yarmak, A.V., and Kalinin, M.O., Analysis of approaches to group authentication in large-scale industrial systems, Autom. Control Comput. Sci., 2019, vol. 53, no. 8, pp. 879–882.CrossRef

18.

Lavrova, D.S., Forecasting the state of components of smart grids for early detection of cyberattacks, Autom. Control Comput. Sci., 2019, vol. 53, no. 8, pp. 1023–1025.CrossRef

19.

Krundyshev, V. and Kalinin, M. Prevention of false data injections in smart infrastructures, 2019 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2019, 2019. https://doi.org/10.1109/BlackSeaCom.2019.8812786

20.

Chalapathi, G.S.S., et al., Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions, 2019. arXiv:1912.00595.

21.

Kalinin, M., Krundyshev, V. Zegzhda, P., and Belenko, V., Network security architectures for VANET, ACM International Conference Proceeding Series, 2017, pp. 73–79. https://doi.org/10.1145/3136825.3136890

22.

Kalinin, M., Krundyshev, V. Rezedinova, E., and Zegzhda, P., Role-based access control for vehicular adhoc networks, 2018 IEEE International Black Sea Conference on Communications and Networking, 2018. https://doi.org/10.1109/BlackSeaCom.2018.8433628

23.

Zegzhda, P.D., Ivanov, D.V., Moskvin, D.A., and Kubrin, G.S., Actual security threats for vehicular and mobile ad hoc networks, Autom. Control Comput. Sci., 2018, vol. 52, no. 8, pp. 993–999.CrossRef

24.

Aleksandrova, E.B. and Rekhviashvili, I.Sh., Organization of recall for the ring signature scheme, Probl. Inf. Bezop., Komp’yut. Sist., 2019, no. 2, pp. 80–85.

25.

Post-Quantum Cryptography. Round 2 Submissions, 2017. https://csrc.nist.gov/Projects/Post-Quantum-Cryptography.

26.

Wang, S., Zhao, R., and Zhang, Y., Lattice-based ring signature scheme under the random oracle model, Int. J. High Perform. Comput. Networking, 2018, vol. 11, no. 4, pp. 332–341.CrossRef

27.

Slamanig, D., Spreitzer, R., and Unterluggauer, T., Linking-based revocation for group signatures: A pragmatic approach for efficient revocation checks, International Conference on Cryptology in Malaysia, 2016, pp. 364–388.

28.

Tang, Q., Public key encryption supporting plaintext equality test and user-specified authorization, Secur. Commun. Networks, 2012, vol. 5, no. 12, pp. 1351–1362.CrossRef

29.

Shamir, A., How to share a secret, Commun. ACM, 1979, vol. 22, no. 11, pp. 612–613.MathSciNetCrossRef

Title: Lattice-Based Ring Signature with Linking-Based Revocation for Industrial Internet of Things
Authors: E. B. Aleksandrova
I. Sh. Rekhviashvili
A. V. Yarmak
Publication date: 01-12-2020
Publisher: Pleiades Publishing
Published in: Automatic Control and Computer Sciences / Issue 8/2020
Print ISSN: 0146-4116
Electronic ISSN: 1558-108X
DOI: https://doi.org/10.3103/S0146411620080039

Springer Professional

Abstract—

Please log in to get access to your license.

Other articles of this Issue 8/2020

Optimal Identification for Objects in Problems on Recognition by Unmanned Underwater Vehicles

A Technique for Safely Transforming the Infrastructure of Industrial Control Systems to the Industrial Internet of Things

Algorithms for Enhancing Information Security in the Processing of Navigation Data of Unmanned Vessels of the Technical Fleet of the Inland Waterways of the Russian Federation

A General Scheme for the Pre-Distribution of Keys

Ensuring the Information Security of Wireless Dynamic Networks Based on the Game-Theoretic Approach

Approach to the Evaluation of the Efficiency of Information Security in Control Systems