A Blockchain Based Secure Framework for User-centric Multi-party Skyline Queries

Abstract

For commercial purposes, business organizations with mutual interests while competing with one another usually intend to keep their datasets to be confidential. Secure multiparty skyline queries enable these organizations to retrieve dominated data objects from their sensitive datasets. Here, a distinction among datasets according to priority, retaining data privacy along with integrity, targeted enquires, etc., are crucial. This paper proposes a secure framework for multi-party skyline queries that incorporates these requirements together. To prioritize datasets it assigns distinct weights to parties’ datasets. To retain adequate privacy it exploits a cryptosystem that engages a single key for encryption but multiple separate keys for decryption. To attain data anonymity it re-encrypts and shuffles the encrypted data. To assure data integrity it deploys a unique block comprising encrypted data designated for every party within the blockchain storage. To enable enlisted users to ask intended queries it accepts their inquiries. This paper is a preliminary report and evaluation of the proposed framework.