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A privacy-preserving data transfer in a blockchain-based commercial real estate platform using random address generation mechanism

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Abstract

To conceal the actual output address, the stealth address protocol generates a one-time temporary output address for the blockchain. The user identity privacy is improved here by hiding the relationship between the input address and the actual output address. Many existing mechanisms like basic-stealth address, double-key stealth address (DKSAP), improved stealth address and perfected double-key stealth address were proposed earlier. But the commonly used double-key stealth address protocol (DKSAP) mandates that the sender delivers the temporary public key along with the transaction, making it possible for attackers to discriminate between stealth and non-stealth transactions and causing a privacy leakage risk. While in the perfected double-key, stealth address protocol, senders and receivers keep track of the number of transactions they have with other users in local transaction record databases. To prevent the temporary key for a transaction from being leaked, senders and receivers generate a temporary key pair based on the number of transactions that have happened between them. We propose a randomized addressing model, where the sender creates a one-time address for every transaction based on their last transaction id and the public key of the receiver which restricts the attacker to track the user identity and transaction information. To improve the real estate technology via the blockchain, the proposed model is deployed in a blockchain-based commercial real estate platform. Finally, we verify the proposed protocol by comparing it with the existing techniques in terms of different performance metrics. Based on the security analysis results obtained, the proposed methodology tends to be efficient in terms of privacy protection, receiver anonymity, copyright protection, and anti-tampering.

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Authors and Affiliations

  1. Department of Data Science and Business Systems, School of Computing, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamilnadu, India

    M. Mohideen AbdulKader & S. Ganesh Kumar

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  1. M. Mohideen AbdulKader
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  2. S. Ganesh Kumar
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Correspondence to M. Mohideen AbdulKader.

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AbdulKader, M.M., Kumar, S.G. A privacy-preserving data transfer in a blockchain-based commercial real estate platform using random address generation mechanism. J Supercomput 79, 10796–10822 (2023). https://doi.org/10.1007/s11227-022-04906-5

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