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A Zero Trust Model for Networked Self-Service Terminals

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Theoretical Computer Science (NCTCS 2023)

Abstract

Networked self-service terminals (NSST) are intelligent devices that are widely used in various fields. They can provide convenient services and interactions, but they also face various security threats. Traditional security protection models are often based on the division of trust boundaries, treating the internal of the terminal as a trusted area, and the external of the terminal as an untrusted area. However, in the application scenarios of self-service terminals, the concepts of internal and external have become blurred, and the security problems have gradually emerged. The traditional boundary security model can no longer meet their security needs. To solve this problem, a zero-trust model for NSST is proposed. This model is based on the security framework of the NIST zero-trust model, which no longer assumes that any area or component is trustworthy, but instead uses multi-level, multi-dimensional, and dynamic security policies to achieve comprehensive and real-time monitoring and protection of the terminal. On this basis, the characteristics and security requirements of NSST are analyzed, and the overall architecture and core components of the zero-trust model are designed, including identity authentication, access control, data encryption, behavior audit, permission management and other aspects. The protection of NSST is achieved by the collaboration of components.

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Correspondence to Boya Liu .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Liu, B., Ye, H., Chen, J., Xia, Y., Cheng, J. (2024). A Zero Trust Model for Networked Self-Service Terminals. In: Cai, Z., Xiao, M., Zhang, J. (eds) Theoretical Computer Science. NCTCS 2023. Communications in Computer and Information Science, vol 1944. Springer, Singapore. https://doi.org/10.1007/978-981-99-7743-7_15

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  • DOI: https://doi.org/10.1007/978-981-99-7743-7_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7742-0

  • Online ISBN: 978-981-99-7743-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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