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Internet of things system technologies based on quality of experience

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Abstract

With rapid development of IOT technology, QOE is considered in design process to ensure that end users are satisfied using IOT applications and System. However, as if to mock this new paradigm, hackers in the cyber world are attacking the subjective acceptability of an IOT application perceived by the end user through intelligent cyber threats such as DDoS attacks, wiretapping, remote control, ID/Password hijacking using IOT devices. Due to this, the number of SIEM introduction is increasing in order to detect threat patterns in a short period of time with a large amount of structured/unstructured data from IOT devices, to precisely diagnose crisis to threats, and to provide an accurate alarm to an administrator by correlating collected information. In this paper, we design and propose an automated profiling model that leverages the analysis results of the IOT event profiling in SIEM to improve attack detection, efficiency and speed against potential threats.

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Acknowledgements

This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. NRF-2017R1E1A1A01075110)

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Authors and Affiliations

  1. ISAA Lab., Department of Computer Engineering, Ajou University Suwon, Suwon, South Korea

    Dongsik Son

  2. Gyeonggi University, Suwon, South Korea

    Seungpyo Huh

  3. Department of Computer Engineering, Hoseo University Cheonan, Asan, South Korea

    Taejin Lee

  4. Department of Cyber Security, Ajou University Suwon, Suwon, South Korea

    Jin Kwak

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  1. Dongsik Son
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  2. Seungpyo Huh
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  3. Taejin Lee
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  4. Jin Kwak
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Correspondence to Jin Kwak.

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This article is part of the Topical Collection: Special Issue on IoT System Technologies based on Quality of Experience

Guest Editors: Cho Jaeik, Naveen Chilamkurti, and SJ Wang

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Son, D., Huh, S., Lee, T. et al. Internet of things system technologies based on quality of experience. Peer-to-Peer Netw. Appl. 13, 475–488 (2020). https://doi.org/10.1007/s12083-019-00727-1

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