Crowd Sensing Applications Using a Privacy-Preserving Quality Control Mechanism Based on Blockchain Technology

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Mr. Kattekola Somanatha Rao, Dr. U. Moulali, Ms. Pooja Rajesh Chavan

Abstract

Every user or node's address is publicly visible on a public blockchain, which is used for reporting current information in blockchain-based mobile crowdsensing. The catch is that their whole history of transactions would be revealed if their residential addresses are divulged to their criminals. So, in order to prevent an adversary from learning anyone's identify, privacy protection is an essential component of crowdsensing. To rephrase, it is imperative that crowd sensors provide user/node anonymity while transmitting real-time data. Because it relies on a centralised node, the current crowdsensing design is unsafe and susceptible to a wide range of assaults. Linking attacks, attacks involving Sybil, and distributed denial of service assaults are among of the ways that adversaries might get access to secret data about the nodes, including their identities. Furthermore, the placement of crowd sensors poses a danger that can provoke violent attacks. In order to achieve privacy over the blockchain ledger, certain blockchain-based ideas must be proposed. Building a crowdsensing ecosystem on an anonymous chain is one potential strategy. Alternatively, users may use smart contracts, which provide protection against a range of blockchain attacks.

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