Reducing Forgery in Land Registry System Using Blockchain Technology

  • U. M. RamyaEmail author
  • P. Sindhuja
  • RA Atsaya
  • B. Bavya Dharani
  • SS Manikanta Varshith Golla
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 955)


Forgery of land documents is one of the major problems faced by any state government in land registration system. Even though the documents are now secured in the database, but these records can be tampered because there is no proper security and time-stamping present in the database system. To overcome this problem, the use case can be deployed using Blockchain. Blockchain being a distributed system, data is available to everyone in the network. Every block added into the blockchain is time stamped and proof-of-work is required to add the block, making the data very hard to be tampered. In this paper, we have used a private-permissioned Blockchain - Multichain, where the authority lies with the registrar making the process faster because proof-of-work [13] is not required. The implementation of land registration use-case involves recording the documents into blockchain and verifying it with the one stored in digital locker thereby reducing forgery of documents.


Multichain Distributed ledger Streams Hash value Consensus protocol Digilocker 


  1. 1.
    Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. White Paper (2008)Google Scholar
  2. 2.
    The Blockchain Imperative: The Next Challenge for P&C Carriers. CognizantGoogle Scholar
  3. 3.
    Kosba, A., Miller, A., Shi, E., Wen, Z., Papamanthou, C.: Hawk: the Blockchain model of cryptography and privacy- preserving smart contracts. In: 2016 IEEE Symposium on Security and Privacy (SP), San Jose, CA, USA, pp. 839–858 (2016).
  4. 4.
    Implementing Blockchain for cognitive IOT applications: integrate device data with smart contracts in IBM Blockchain. IBM Developer WorksGoogle Scholar
  5. 5.
    Christidis, K., Devetsikiotis, M.: Blockchains and smart contracts for the internet of things. IEEE Access 4, 2292–2303 (2016). Scholar
  6. 6.
    Nugent, T., Upton, D., Cimpoesu, M.: Improving data transparency in clinical trials using blockchain. Firstpublished: 20 Oct 2016, 2541 Latest published 20 Oct 2016, 2541Google Scholar
  7. 7.
    Archa, A.B., Achuthan, K.: Trace and track: enhanced pharma supply chain infrastructure to prevent fraud. In: Kumar, N., Thakre, A. (eds.) Ubiquitous Communications and Network Computing. UBICNET 2017. Lecture Notesof the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol. 218. Springer, Cham (2018)Google Scholar
  8. 8.
    Mizrahi, A.: A blockchain-based property ownership recording systemGoogle Scholar
  9. 9.
    Siva Sankar, L., Sindhu, M., Sethumadhavan, M.: Survey of consensus protocols on Blockchain applications. In: 2017 International Conference on Advanced Computing and Communication Systems (ICACCS 2017), Jan. 06–07 (2017). Coimbatore, INDIAGoogle Scholar
  10. 10.
    Schwartz, D., Youngs, N., Britto, A.: The ripple protocol consensus algorithm (2014)Google Scholar
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • U. M. Ramya
    • 1
  • P. Sindhuja
    • 1
  • RA Atsaya
    • 1
  • B. Bavya Dharani
    • 1
  • SS Manikanta Varshith Golla
    • 1
  1. 1.Department of Computer Science and Engineering, Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatoreIndia

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