TY - GEN
T1 - TrustAssess
T2 - 2024 IEEE Global Communications Conference, GLOBECOM 2024
AU - Chen, Shuanglong
AU - Su, Zhou
AU - Shi, Hang
AU - Xu, Qichao
AU - Li, Zhenbin
AU - Li, Zhendong
AU - Niu, Xiaolin
AU - Qian, Kun
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - D-S evidence theory
KW - Trusted networks
KW - device trustworthiness assessment
UR - https://www.scopus.com/pages/publications/105000819032
U2 - 10.1109/GLOBECOM52923.2024.10901475
DO - 10.1109/GLOBECOM52923.2024.10901475
M3 - 会议稿件
AN - SCOPUS:105000819032
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 3099
EP - 3103
BT - GLOBECOM 2024 - 2024 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2024 through 12 December 2024
ER -