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Method of Early Detection of Cyber-Attacks on Telecommunication Networks Based on Traffic Analysis by Extreme Filtering

Author

Listed:
  • Andrey Privalov

    (Emperor Alexander I Saint-Petersburg State Transport University, 9 Moskovsky pr., 190031 St. Petersburg, Russia)

  • Vera Lukicheva

    (Emperor Alexander I Saint-Petersburg State Transport University, 9 Moskovsky pr., 190031 St. Petersburg, Russia)

  • Igor Kotenko

    (Saint-Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS), 39, 14 Liniya, 199178 St. Petersburg, Russia)

  • Igor Saenko

    (Saint-Petersburg Institute for Informatics and Automation of Russian Academy of Sciences (SPIIRAS), 39, 14 Liniya, 199178 St. Petersburg, Russia)

Abstract

The paper suggests a method of early detection of cyber-attacks by using DDoS attacks as an example) using the method of extreme filtering in a mode close real time. The process of decomposition of the total signal (additive superposition of attacking and legitimate effects) and its decomposition using the method of extreme filtering is simulated. A profile model of a stochastic network is proposed. This allows to specify the influence of the intruder on the network using probabilistic-time characteristics. Experimental evaluation of metrics characterizing the cyber-attack is given. It is demonstrated how obtained values of metrics confirm the process of attack preparation, for instance the large-scaled telecommunication network, which includes the proposed method for early detection of attacks, has a recovery time of no more than 9 s, and the parameters of quality of service remain in an acceptable range.

Suggested Citation

  • Andrey Privalov & Vera Lukicheva & Igor Kotenko & Igor Saenko, 2019. "Method of Early Detection of Cyber-Attacks on Telecommunication Networks Based on Traffic Analysis by Extreme Filtering," Energies, MDPI, vol. 12(24), pages 1-14, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4768-:d:297800
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    References listed on IDEAS

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    1. Dai Wang & Xiaohong Guan & Ting Liu & Yun Gu & Chao Shen & Zhanbo Xu, 2014. "Extended Distributed State Estimation: A Detection Method against Tolerable False Data Injection Attacks in Smart Grids," Energies, MDPI, vol. 7(3), pages 1-22, March.
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    Cited by:

    1. Igor Kotenko & Igor Saenko & Oleg Lauta & Aleksander Kribel, 2020. "An Approach to Detecting Cyber Attacks against Smart Power Grids Based on the Analysis of Network Traffic Self-Similarity," Energies, MDPI, vol. 13(19), pages 1-24, September.
    2. Andrey Privalov & Vera Lukicheva & Igor Kotenko & Igor Saenko, 2020. "Increasing the Sensitivity of the Method of Early Detection of Cyber-Attacks in Telecommunication Networks Based on Traffic Analysis by Extreme Filtering," Energies, MDPI, vol. 13(11), pages 1-18, June.
    3. Mazhar Javed Awan & Umar Farooq & Hafiz Muhammad Aqeel Babar & Awais Yasin & Haitham Nobanee & Muzammil Hussain & Owais Hakeem & Azlan Mohd Zain, 2021. "Real-Time DDoS Attack Detection System Using Big Data Approach," Sustainability, MDPI, vol. 13(19), pages 1-19, September.

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