Name
Abstract | ||
|---|---|---|
With the emergence of computation-intensive vehicular applications, computation offloading based on mobile-edge computing (MEC) has become a promising paradigm in resource-constrained vehicular cloud networks (VCNs). However, when doing computation offloading in a VCN, malicious service providers can cause serious security concerns on the content offloading. To address that in this article, a blockchain-based secure computation offloading scheduling scheme is proposed. It embraces the blockchain-based trust management paradigm and smart contract-enabled deep reinforcement learning (DRL) algorithm. As for the trust management, the long-term reputation and short-term trust variability are jointly considered. Specifically, a novel three-valued subjective logic (3VSL) scheme is adopted to obtain a more comprehensive reputation, and the statistics of behavioral transitions can provide a short-term trust variability to timely capture the malicious behaviors. In addition, to securely update, validate, and store the trust information, we propose a hierarchical blockchain framework that comprises vehicular blockchain, roadside unit (RSU) blockchain, and cloud blockchain. Furthermore, a smart contract-enabled DRL algorithm is proposed to implement the secure and intelligent computation offloading scheduling in a VCN. Simulations are conducted to verify the effectiveness of the proposed scheme. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JIOT.2021.3054866 | IEEE Internet of Things Journal |
Keywords | DocType | Volume |
Blockchain,computation offloading,deep reinforcement learning (DRL),reputation,smart contract,vehicular cloud networks (VCNs) | Journal | 9 |
Issue | ISSN | Citations |
16 | 2327-4662 | 0 |
PageRank | References | Authors |
0.34 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shilin Xu | 1 | 1 | 2.39 |
| Caili Guo | 2 | 26 | 13.86 |
| Rose Qingyang Hu | 3 | 1702 | 135.35 |
| Yi Qian | 4 | 0 | 0.34 |