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TrustAssess: D-S Evidence Theory Based Device Trustworthiness Assessment for Trusted Networks

  • Shuanglong Chen
  • , Zhou Su
  • , Hang Shi
  • , Qichao Xu
  • , Zhenbin Li
  • , Zhendong Li
  • , Xiaolin Niu
  • , Kun Qian
  • Huawei Technologies Co., Ltd.
  • Shanghai University
  • Xi'an Jiaotong University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The trustworthiness assessments of devices (e.g., routers, switches, and controllers, etc.) are essential to build a trusted network. However, due to the diversity of network devices and time-varying natures of security states, it is challenging to effectively assess the trustworthiness of devices in large-scale networks. To address this challenge, in this paper, we propose a device trustworthiness assessment scheme based on the Dempster-Shafer (D-S) evidence theory. Specifically, we first devise a whole life-cycle device assessment architecture to assess the trustworthiness of devices from startup, long-term operation to retirement. We then present a user-editable device assessment model to establish the trustworthiness attribute sets and trustworthiness level division strategies based on user requirements. Furthermore, we design a D-S evidence theory-based trustworthiness assessment algorithm to fuse the measurement values of multi-dimensional trustworthiness attributes for obtaining the trustworthiness level of devices. Finally, simulation results demonstrate that the proposed scheme can improve the accuracy and efficiency of device trustworthiness assessment.

Original languageEnglish
Title of host publicationGLOBECOM 2024 - 2024 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3099-3103
Number of pages5
ISBN (Electronic)9798350351255
DOIs
StatePublished - 2024
Event2024 IEEE Global Communications Conference, GLOBECOM 2024 - Cape Town, South Africa
Duration: 8 Dec 202412 Dec 2024

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2024 IEEE Global Communications Conference, GLOBECOM 2024
Country/TerritorySouth Africa
CityCape Town
Period8/12/2412/12/24

Keywords

  • D-S evidence theory
  • Trusted networks
  • device trustworthiness assessment

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