Abstract
The paper analyzes possible types of attacks in the areas of information security of cyber-physical systems and surveys available literature in the field. We address a problem of the vulnerability of Internet of Things devices in wireless networks, assuming attacks aimed at depleting energy resources. In the paper we regarded several types of traffic and conducted an analysis of normal and attacking traffic. An approach to detection of energy depletion attacks in cyber-physical systems based on machine learning methods is proposed. The feasibility of the proposed solution is confirmed by an example of the attacking traffic by using the Python language and Anaconda pack.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Desnitsky, V., Chechulin, A., Kotenko, I., Levshun, D., Kolomeec, M.: Combined design technique for secure embedded devices exemplified by a perimeter protection system. In: SPIIRAS Proceedings, no. 48, pp. 5–31 (2016)
Kaur, S., Ataullah, Md, Garg, M.: Security from denial of sleep attack in wireless sensor network. Int. J. Comput. Technol. 4(2), 419–425 (2013)
Wainis, M., Kabalan, K., Dandeh, R.: Denial of sleep detection and mitigation. Latest Trends Commun. 3(2), 195–200 (2014)
Kaur, S., Ataullah, Md.: Securing wireless sensor network from denial of sleep attack by isolating nodes. Int. J. Comput. Appl. Technol. 103(1), 29–33 (2014)
Raymond, D.R.: Denial-of-Sleep Vulnerabilities and Defenses in Wireless Sensor Network MAC Protocols. Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Computer Engineering (2008)
Desnitsky, V.A., Kotenko, I.V., Rudavin, N.N.: Protection mechanisms against energy depletion attacks in cyber-physical systems. In: Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus 2019), pp. 214–219 (2019). https://doi.org/10.1109/EIConRus.2019.8656795
Acknowledgement
The work was financially supported by the Russian Foundation of Basic Research, project No. 19-07-00953.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Balueva, A., Desnitsky, V., Ushakov, I. (2020). Approach to Detection of Denial-of-Sleep Attacks in Wireless Sensor Networks on the Base of Machine Learning. In: Kotenko, I., Badica, C., Desnitsky, V., El Baz, D., Ivanovic, M. (eds) Intelligent Distributed Computing XIII. IDC 2019. Studies in Computational Intelligence, vol 868. Springer, Cham. https://doi.org/10.1007/978-3-030-32258-8_41
Download citation
DOI: https://doi.org/10.1007/978-3-030-32258-8_41
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-32257-1
Online ISBN: 978-3-030-32258-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)