IDEAS home Printed from https://ideas.repec.org/a/vrs/otamic/v15y2023i1p157-168n4.html
   My bibliography  Save this article

Protecting the intellectual property of built environment designs using blockchain technology

Author

Listed:
  • Darabseh Mohammad

    (CONSTRUCT – GEQUALTEC, Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal)

  • Martins João Poças

    (CONSTRUCT – GEQUALTEC, Faculty of Engineering (FEUP), University of Porto, Rua Dr. Roberto Frias s/n, 4200-465 Porto, Portugal)

Abstract

Digital design and modelling for construction assets was an important step towards improving the construction process overall by improving its efficiency and productivity, reducing the time needed for design editing and rework. However, digital forms of designs are prone to cyber threats and misuse by unauthorised authors. This is a common problem in different industries wherein digital asset management is inefficient due to its centralisation and depends on humans following a certain procedure. Blockchain is an emerging technology capable of transferring digitally produced information into a transferable digital value by storing the information or an identifying signature for the information on a blockchain ledger. Information on the blockchain ledger is immutable and stored in a decentralised system, making it a permanent record. This article investigates the possibility of protecting the intellectual property of built environment designs using blockchain technology. The article presents a solution for generating a double-fingerprint identity for the Industry Foundation Classes (IFC), a common format for built environment design exchange, followed by deployment of a smart contract on the Ethereum public blockchain to store the design fingerprint along with design meta-data, such as information about the the owner and version, as a non-fungible token, a unique asset format stored on a blockchain ledger.

Suggested Citation

  • Darabseh Mohammad & Martins João Poças, 2023. "Protecting the intellectual property of built environment designs using blockchain technology," Organization, Technology and Management in Construction, Sciendo, vol. 15(1), pages 157-168, January.
    • Handle: RePEc:vrs:otamic:v:15:y:2023:i:1:p:157-168:n:4
    DOI: 10.2478/otmcj-2023-0011
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/otmcj-2023-0011
    Download Restriction: no
    File URL: https://libkey.io/10.2478/otmcj-2023-0011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Minjian Ye & Guangzhong Li, 2017. "Internet big data and capital markets: a literature review," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-18, December.
    2. Jeonghee Chi & Jangyeon Lee & Nakyung Kim & Jeewoo Choi & Soyoung Park, 2020. "Secure and reliable blockchain-based eBook transaction system for self-published eBook trading," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-33, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Ateeq ur REHMAN & Furman ALI & Shang XIE, 2022. "Impact of Foreign Investment News on the Return, Cost of Equity and Cash Flow Activities," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 112-127, December.
    2. Mu-En Wu & Wei-Ho Chung, 2019. "Empirical Evaluations on Momentum Effects of Taiwan Index Futures via Stop-Loss and Stop-Profit Mechanisms," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 629-648, March.
    3. Ning Wang & Shanhui Ke & Yibo Chen & Tao Yan & Andrew Lim, 2019. "Textual Sentiment of Chinese Microblog Toward the Stock Market," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 649-671, March.
    4. Jihong Xiao & Xuehong Zhu & Chuangxia Huang & Xiaoguang Yang & Fenghua Wen & Meirui Zhong, 2019. "A New Approach for Stock Price Analysis and Prediction Based on SSA and SVM," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 287-310, January.
    5. Manik Sharma & Samriti Sharma & Gurvinder Singh, 2018. "Performance Analysis of Statistical and Supervised Learning Techniques in Stock Data Mining," Data, MDPI, vol. 3(4), pages 1-16, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:vrs:otamic:v:15:y:2023:i:1:p:157-168:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.