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

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.