| Title | A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Yuan, Jie, Li, Xiaoyong |
| Journal | IEEE Access |
| Volume | 6 |
| Pagination | 23626–23638 |
| ISSN | 2169-3536 |
| Keywords | cloud computing, composability, compositionality, Computational efficiency, Computational modeling, Computing Theory and Trust, edge computing, Entropy, feedback information fusion algorithm, feedback trust, global trust calculation, information entropy, Internet of Things, IoT edge computing applications, IoT edge computing architecture, IoT edge devices, largescale IoT edge computing, lightweight trust computing mechanism, lightweight trust evaluating mechanism, lightweight trust mechanism, low-overhead trust computing algorithms, multi-source feedback information fusion, multisource feedback information fusion, objective information entropy theory, outsourced computing services, outsourcing, pubcrawl, reliability, reliable trust computing mechanism, security, security of data, sensor fusion, trust calculation mechanism, trust computing mechanism, Trusted Computing |
| Abstract | The integration of Internet of Things (IoT) and edge computing is currently a new research hotspot. However, the lack of trust between IoT edge devices has hindered the universal acceptance of IoT edge computing as outsourced computing services. In order to increase the adoption of IoT edge computing applications, first, IoT edge computing architecture should establish efficient trust calculation mechanism to alleviate the concerns of numerous users. In this paper, a reliable and lightweight trust mechanism is originally proposed for IoT edge devices based on multi-source feedback information fusion. First, due to the multi-source feedback mechanism is used for global trust calculation, our trust calculation mechanism is more reliable against bad-mouthing attacks caused by malicious feedback providers. Then, we adopt lightweight trust evaluating mechanism for cooperations of IoT edge devices, which is suitable for largescale IoT edge computing because it facilitates low-overhead trust computing algorithms. At the same time, we adopt a feedback information fusion algorithm based on objective information entropy theory, which can overcome the limitations of traditional trust schemes, whereby the trust factors are weighted manually or subjectively. And the experimental results show that the proposed trust calculation scheme significantly outperforms existing approaches in both computational efficiency and reliability. |
| DOI | 10.1109/ACCESS.2018.2831898 |
| Citation Key | yuan_reliable_2018 |
A Reliable and Lightweight Trust Computing Mechanism for IoT Edge Devices Based on Multi-Source Feedback Information Fusion