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An efficient geometric octal zones distance estimation and attribute-based encryption for secure transfer of sensitive data

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  • M. Mohideen AbdulKader

    (SRM University)

  • S. Ganesh Kumar

    (SRM University)

Abstract

Asset buyers and sellers share lots of their private and financial details with real estate agents and if the information is exposed to malicious users, then they cost a fortune to the person whose information has been sabotaged. In these cases, the brand reputation of the businesses is also diminished. Data security is a technique that comes to the rescue by preventing digitized data from cyberattacks. This study utilizes blockchain architecture to secure real estate information from cybercriminals. Blockchain is a decentralized network where the computers (nodes) interconnected to each other is represented as a chain of blocks that secures the user’s confidential information genuinely. To ensure the overall protection of the real estate agencies information, we propose a geometric octal zones distance estimation optimization algorithm (GOZDE) optimized attribute-based encryption (ABE) (GOZDE-ABE) technique. The GOZDE-ABE increases the throughput of the ABE offering increasing privacy and accuracy levels of the confidential data. We also demonstrate the working of the blockchain-based real estate model for secure data sharing with the consensus and smart contract mechanism designed. The combined concepts of blockchain and the ABE technique become powerful tools to store and securely transfer sensitive data. The blockchain approach ensures data integrity and the ABE concept guarantees access control and authorization. The encrypted real estate documents are stored in the Inter Planetary File Systems (IPFS) and their respective hash files are generated subsequently. These hash files help to determine the exact location of files in the IPFS efficiently. The experimental results are conducted in terms of encryption time, decryption time, ciphertext storage space, storage overhead analysis, etc. The results show that the proposed model improves the security of the business information and high-value money transactions exchanged via blockchain by the GOZDE-ABE technique.

Suggested Citation

  • M. Mohideen AbdulKader & S. Ganesh Kumar, 2023. "An efficient geometric octal zones distance estimation and attribute-based encryption for secure transfer of sensitive data," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 84(2), pages 251-270, October.
    • Handle: RePEc:spr:telsys:v:84:y:2023:i:2:d:10.1007_s11235-023-01030-4
    DOI: 10.1007/s11235-023-01030-4
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    References listed on IDEAS

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    1. J. Leon Zhao & Shaokun Fan & Jiaqi Yan, 2016. "Overview of business innovations and research opportunities in blockchain and introduction to the special issue," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-7, December.
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