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International Conference on Smart Computing and Communication

SmartCom 2021: Smart Computing and Communication pp 164–174Cite as

Trust Evaluation Method Based on the Degree of Code Obfuscation

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13202))

Abstract

In the power grid environment, equipment certification is the key practice of zero trust security. Through the trust evaluation of equipment, the power grid environment can be effectively protected. This paper introduces identity authentication and behavior authentication to evaluate the security of devices from many aspects, and proposes a trust evaluation scheme based on code confusion for terminal devices. Through the identification and password technology and digital signature mechanism, the identity of terminal equipment is verified to prevent incomplete files caused by virus infection, Trojan horse/back door/man-made tampering, transmission failure and other reasons, and complete identity authentication. Through the improved trust evaluation model based on supervised learning to evaluate the effectiveness of code confusion, we can determine the ability of the code to resist malicious attacks, analyze whether the device will bring threatening behavior, indirectly verify the device behavior trust, and then prove the security of the terminal or software to complete behavior authentication.

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Acknowledgment

This work is supported by the science and technology project of State Grid Corporation of China Funding Item: “Research on Dynamic Access Authentication and Trust Evaluation Technology of Power Mobile Internet Services Based on Zero Trust” (Grand No. 5700-202158183A-0-0-00) .

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Authors and Affiliations

  1. Institute of Information and Communication, Global Energy Interconnection Research Institute, Nanjing, 210003, China

    Lu Chen, Zaojian Dai, Nige Li & Yong Li

  2. State Grid Key Laboratory of Information and Network Security, Nanjing, 210003, China

    Lu Chen, Zaojian Dai, Nige Li & Yong Li

Authors
  1. Lu Chen
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  2. Zaojian Dai
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  3. Nige Li
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  4. Yong Li
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Corresponding author

Correspondence to Lu Chen .

Editor information

Editors and Affiliations

  1. Texas A&M University-Commerce, Commerce, TX, USA

    Meikang Qiu

  2. Beijing Institute of Technology, Beijing, Beijing, China

    Keke Gai

  3. Tsinghua University, Beijing, China

    Han Qiu

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Chen, L., Dai, Z., Li, N., Li, Y. (2022). Trust Evaluation Method Based on the Degree of Code Obfuscation. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_15

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  • DOI: https://doi.org/10.1007/978-3-030-97774-0_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97773-3

  • Online ISBN: 978-3-030-97774-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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