| Title | A Data Trustworthiness Enhanced Reputation Mechanism for Mobile Crowd Sensing |
|---|---|
| ID_Doc | 39743 |
| Authors | Yu, MY; Lin, H; Hu, J |
| Title | A Data Trustworthiness Enhanced Reputation Mechanism for Mobile Crowd Sensing |
| Year | 2017 |
| Published | |
| Abstract | Mobile Crowd Sensing (MCS) arises as an emerging technology to assist smart city applications through crowd sensing services where data is gathered and stored from intelligent devices interacting continuously with citizens. For the success of the burgeoning MCS technology in smart city applications, it is vital to address the key challenge of data trustworthiness in MCS. Therefore, this paper proposes a Data Trustworthiness enhanced Reputation Mechanism (DTRM) to defend against internal attacks and enhance data trustworthiness for MCS. In the DTRM, the sensitivity-level based data category, metagraph theory based user group division and reputation transferring are integrated into the reputation query and evaluation process. Simulation results demonstrate the superior performance of the DTRM compared to existing reputation mechanisms under internal mobile attacks and bad mouthing attacks. |
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