Towards developing a Block Chain based Advanced Data Security-Reward Model (DSecCS) in mobile crowd sensing networks

Abstract

Mobile Crowd sensing model is an emerging paradigm that requires mobile device users to perform tasks such as data aggregation and cloud computing operations and also provides significant role in several data-driven applications. For providing effective performance, the crowd sensing model gathers huge data from several mobile nodes in cost-effective manner. Moreover, while handling with high-density sensors, there are several security issues such as, single point of failures, data leakage and so on. Hence, a decentralized ledger mechanism called block chain technology is integrated with crowd sensing models for solving various security concerns, in recent scenarios. With that note, this paper proposes a new model called Block Chain based Advanced Data Security-Reward Model (DSecCS) for enhancing data security and attack resistance. Moreover, the mode combines quality of data, status and rewards to make the users to contribute their private data, when dampen the malicious activities. The proposed model comprises of three sections, as, Construction of Intellectual CS Model, Confusion Model and Incorporation of Block-Chain. The experimental results show that the proposed model produces effective results than compared works.

Keywords

• Block Chain
• Crowd sensing
• Data Security
• Reward
• Data Privacy