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Taas: Trust assessment as a service for secure communication of green edge-assisted UAV network

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Abstract

Green edge-assisted unmanned aerial vehicle (eUAV) network is an emerging network architecture enhanced with the energy efficiency technology that provides an ubiquitous communication for air and ground. It is considered a promising technology that can maintain a balance between a clean environment and a rich human life to build a sustainable world. However, the security issues exposed by UAVs have raised concerns about the trust and security for adopting eUAV network for communication. To this end, a trust assessment as a service (TaaS) scheme for secure communication of green eUAV network is proposed. The TaaS can effectively collect the valid data of UAVs about diverse and dynamic quality of service (QoS) attributes related to energy efficiency. To predict the actual data of UAVs about QoS attributes in the real green eUAV environment, an service level object calibration method is presented in TaaS. In addition, to accurately obtain the trust level of UAVs in the eUAV network, TaaS presents a trust level assessment method integrated the interval multi-attribute decision-making method and the objective weight assignment method based on deviation maximization. A case study with open source dataset and a performance analysis experiment are conducted to show that the proposed TaaS scheme can accurately and effectively assess the trust level of UAVs while outperforming other traditional trust assessment methods.

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The data sets supporting the results of this article are included within the article.

Notes

  1. It represents the measurable attributes of a service that bear on its ability to satisfy the stated requirements of a service customer, which aims to implement the concept of measured service.

  2. The QoS attributes are considered to be the metrics of QoS, which can be used as the benchmark to measure the specific non-functional quality of a service.

  3. It is a quantitative commitment made by a service provider for a specific QoS attribute of its service. It aims at specifying quantifiable QoS attributes for the covered service.

  4. It is a legally or formal documented agreement between the service provider and customer used to govern the QoS that the covered service is expected to be provisioned, which includes SLOs for the covered service.

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Funding

This work was supported by the China Post-Doctoral Science Foundation under Project 2020M683296.

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Authors and Affiliations

  1. School of Information and Software Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, China

    Qixu Wang & Zhiguang Qin

  2. School of Cybersecurity (Xin Gu Industrial College), Chengdu University of Information Technology, 610225, Chengdu, China

    Qixu Wang

  3. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, 610225, Chengdu, China

    Qixu Wang

  4. SUGON Industrial Control and Security Center, Chengdu, China

    Qixu Wang

  5. Information Center, Southern Power Grid Yunnan Power Grid Co., Ltd., 650000, Kunming, Yunnan Province, China

    Peng Xiao

  6. Informatization Construction and Management Office, Sichuan University, 610065, Chengdu, China

    Xiang Li

  7. Huaxin Consulting Design and Research Institute Co., Ltd., Zhejiang Province, 310000, Hangzhou, China

    Yunxiang Qiu

  8. School of Cyber Science and Engineering, Sichuan University, 610065, Chengdu, China

    Tao Zheng

Authors
  1. Qixu Wang
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  2. Peng Xiao
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  3. Xiang Li
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  4. Yunxiang Qiu
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  5. Tao Zheng
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  6. Zhiguang Qin
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Contributions

Qixu Wang and Xiang Li wrote the main part of the manuscript. Qixu Wang developed the model. Yunxiang Qiu and Tao Zheng developed the case study. Zhiguang Qin reviewed and revised the manuscript. Xiang Li performed the simulation experiments. All authors read and approved the final manuscript.

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Correspondence to Xiang Li.

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This article is part of the Topical Collection: Special Issue on Affordable and Clean Energy

Guest Editors: Dajiang Chen, Ning Zhang, and Chunpeng Ge

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Wang, Q., Xiao, P., Li, X. et al. Taas: Trust assessment as a service for secure communication of green edge-assisted UAV network. Peer-to-Peer Netw. Appl. (2024). https://doi.org/10.1007/s12083-024-01701-2

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