A De-swinging Scheme in Location Privacy Protection via Smart Contract

Abstract

There are some problems such as behavior deception and service swing while utilizing distributed k-anonymity technology to construct an anonymous domain. If the malicious nodes submit a false location coordinate to take participate in the process of constructing, the coordinate of the honest node will be leaked, and the attacker will increase the reputation illegally. To tackle those problems, we propose a de-swinging scheme based on the smart contract for location privacy protection. Primarily, a de-swinging reputation evaluation method (DREM) is introduced, in which participants prefer to choose nodes with high reputations to complete the construction process of the anonymous domain. In this method, we design a penalty factor to curb malicious behavior. Besides, based on our proposed DREM, a cridible cloaking area is constructed to protect the location privacy of the request nodes. We utilize smart contract to calculate reputation automatically during the process of construction. Finally, the security analysis and simulation results indicate that our proposed scheme can effectively resist malicious attacks, detect malicious nodes quickly, encourage nodes to participate honestly in the construction of anonymous domain.