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A Survey of Security Vulnerability Analysis, Discovery, Detection, and Mitigation on IoT Devices

Author

Listed:
  • Miao Yu

    (Institute of Network Science and Cyberspace, Tsinghua University, Beijing 100091, China)

  • Jianwei Zhuge

    (Institute of Network Science and Cyberspace, Tsinghua University, Beijing 100091, China
    Beijing National Research Center for Information Science and Technology, Beijing 100000, China)

  • Ming Cao

    (China Information Technology Security Evaluation Center, Beijing 100085, China)

  • Zhiwei Shi

    (China Information Technology Security Evaluation Center, Beijing 100085, China)

  • Lin Jiang

    (China Luoyang Electronic Equipment Test Center, Luoyang 471000, China)

Abstract

With the prosperity of the Internet of Things (IoT) industry environment, the variety and quantity of IoT devices have grown rapidly. IoT devices have been widely used in smart homes, smart wear, smart manufacturing, smart cars, smart medical care, and many other life-related fields. With it, security vulnerabilities of IoT devices are emerging endlessly. The proliferation of security vulnerabilities will bring severe risks to users’ privacy and property. This paper first describes the research background, including IoT architecture, device components, and attack surfaces. We review state-of-the-art research on IoT device vulnerability discovery, detection, mitigation, and other related works. Then, we point out the current challenges and opportunities by evaluation. Finally, we forecast and discuss the research directions on vulnerability analysis techniques of IoT devices.

Suggested Citation

  • Miao Yu & Jianwei Zhuge & Ming Cao & Zhiwei Shi & Lin Jiang, 2020. "A Survey of Security Vulnerability Analysis, Discovery, Detection, and Mitigation on IoT Devices," Future Internet, MDPI, vol. 12(2), pages 1-23, February.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:2:p:27-:d:317405
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    Citations

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    Cited by:

    1. Rohit Akhilesh & Oliver Bills & Naveen Chilamkurti & Mohammad Jabed Morshed Chowdhury, 2022. "Automated Penetration Testing Framework for Smart-Home-Based IoT Devices," Future Internet, MDPI, vol. 14(10), pages 1-18, September.
    2. Nadir, Ibrahim & Mahmood, Haroon & Asadullah, Ghalib, 2022. "A taxonomy of IoT firmware security and principal firmware analysis techniques," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).

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