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PACKUARIUM: Network Packet Visualization Using Mixed Reality for Detecting Bot IoT Device of DDoS Attack

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Abstract

This paper proposes a method of network packets visualization using mixed reality technology. The purpose of this visualization is to detect an IoT device that has been altered into a “bot” which performs DDoS attack. To achieve the objective, our solution addresses the following core concerns: (1) to clearly realize unusual situation that DDoS attack is happening, (2) to easily find which device is performing as a bot of DDoS attack, and (3) to immediately notice the beginning of DDoS attack in real-time. This paper introduces a visualization system that implements the above proposed method and presents some preliminary evaluation results.

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References

  1. Beitzel, S., Dykstra, J., Toliver, P., Youzwak, J.: Exploring 3D cybersecurity visualization with the microsoft HoloLens. In: Nicholson, D. (ed.) Advances in Human Factors in Cybersecurity. AHFE 2017. Advances in Intelligent Systems and Computing, vol. 593, pp. 197–207. Springer, Cham (2018)

    Google Scholar 

  2. European Network and Information Security Agency: Major DDoS Attacks Involving IoT Devices (2016). https://www.enisa.europa.eu/publications/info-notes/major-ddos-attacks-involving-iot-devices

  3. FORTINET: Fortinet Threat Map. https://threatmap.fortiguard.com/

  4. Google and Arbor Networks: Digital Attack Map. http://www.digitalattackmap.com/

  5. Gu, Q., Liu, P.: Denial of Service Attacks. Technical Report. http://s2.ist.psu.edu/paper/DDoS-Chap-Gu-June-07.pdf

  6. Kaspersky: CYBERTHREAT REAL-TIME MAP. https://cybermap.kaspersky.com/

  7. Kolias, C., Kambourakis, G., Stavrou, A., Voas, J.: DDoS in the IoT: Mirai and other Botnets. IEEE Comput. 50(7), 80–84 (2017)

    Article  Google Scholar 

  8. Krebs, B.: Krebsonsecurity hit with record DDoS (2016). https://krebsonsecurity.com/2016/09/krebsonsecurity-hit-with-record-ddos/

  9. Mayer, S., Hassan, Y., Sörös, G.: Magic lenses for revealing device interactions in smart environments. In: SIGGRAPH Asia 2014 Mobile Graphics and Interactive Applications (SA 2014). ACM, New York Article 9, 6 p. (2014). https://doi.org/10.1145/2669062.2669077

  10. McAfee Labs Threats Report, August 2019. https://www.mcafee.com/enterprise/en-us/assets/reports/rp-quarterly-threats-aug-2019.pdf

  11. National Institute of Information and Communications Technology. https://www.nicter.jp

  12. Shiravi, H., Shiravi, A., Ghorbani, A.: A survey of visualization systems for network security. IEEE Trans. Visual Comput. Graphics 18(8), 1313–1329 (2012)

    Article  Google Scholar 

  13. Sparks, P.: The route to a trillion devices, white paper of ARM Limited (2017)

    Google Scholar 

  14. Suzuki, K., Eto, M., Inoue, D.: Development and evaluation of NIRVANA: real network traffic visualization system. J. National Institute Inf. Commun. Technol. 58, 61–77 (2011)

    Google Scholar 

  15. The Internet Engineering Task Force (RFC4732): Internet Denial-of-Service Considerations (2006). http://tools.ietf.org/html/rfc4732

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Acknowledgement

This research was supported by Strategic International Research Cooperative Program, Japan Science and Technology Agency (JST) regarding “Security in the Internet of Things Space”.

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Correspondence to Kosuke Kaneko .

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Kaneko, K., Tsutsumi, Y., Sharma, S., Okada, Y. (2020). PACKUARIUM: Network Packet Visualization Using Mixed Reality for Detecting Bot IoT Device of DDoS Attack. In: Barolli, L., Okada, Y., Amato, F. (eds) Advances in Internet, Data and Web Technologies. EIDWT 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-030-39746-3_38

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