IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i8p6905-d1127654.html
   My bibliography  Save this article

Privacy-Preserving Blockchain Framework for Supply Chain Management: Perceptive Craving Game Search Optimization (PCGSO)

Author

Listed:
  • Basim Aljabhan

    (Ports and Maritime Transportation Department, Faculty of Maritime Studies, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Muath A. Obaidat

    (Department of Computer Science and Information Security, City University of New York, New York, NY 10019, USA)

Abstract

The fierce competition in international markets and the rapid advancements in information technology result in shorter lead times, lower transportation capacity, and higher demand. The supply chain network is one of the most crucial areas of concentration in the majority of business circumstances. Blockchain technology is a promising option for safe information exchange in the supply chain network. Although preserving security at every level of the blockchain is somewhat important, cryptographic methodologies are frequently used in the existing works. The novel perceptive craving game search (PCGS) optimization algorithm is used to optimally generate the key for data sanitization, which assures the privacy of logistics data. Here, the original logistics data obtained from the manufacturer is sanitized with an optimal key generated by using the PCGS optimization algorithm, avoiding the risk of unauthorized access and data swarm that causes the system to lag. Moreover, the sanitized data obtained from the manufacturer is transmitted to the allowed parties via different sub-chains. The same generated key is used on the receiving customer side for reconstructing the original information from the sanitized data. The performance and results of the proposed blockchain-based privacy preservation model are validated using various parameters.

Suggested Citation

  • Basim Aljabhan & Muath A. Obaidat, 2023. "Privacy-Preserving Blockchain Framework for Supply Chain Management: Perceptive Craving Game Search Optimization (PCGSO)," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6905-:d:1127654
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/8/6905/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/8/6905/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon Wong & John-Kun-Woon Yeung & Yui-Yip Lau & Joseph So, 2021. "Technical Sustainability of Cloud-Based Blockchain Integrated with Machine Learning for Supply Chain Management," Sustainability, MDPI, vol. 13(15), pages 1-20, July.
    2. Amulya Gurtu & Jestin Johny, 2021. "Supply Chain Risk Management: Literature Review," Risks, MDPI, vol. 9(1), pages 1-16, January.
    3. Jacob Lohmer & Elias Ribeiro da Silva & Rainer Lasch, 2022. "Blockchain Technology in Operations & Supply Chain Management: A Content Analysis," Sustainability, MDPI, vol. 14(10), pages 1-88, May.
    4. Mohammed Alkahtani, 2022. "Supply Chain Management Optimization and Prediction Model Based on Projected Stochastic Gradient," Sustainability, MDPI, vol. 14(6), pages 1-14, March.
    5. Mahsa Jamshidi Dolatabad & Mahsa Azhdarifard & Ngakan Ketut Acwin Dwijendra & Ahmed Qassem Ali Sharhan Al-Sudani & Reza Lotfi, 2022. "Evaluating Agile Practices in Green Supply Chain Management Using a Fuzzy Multicriteria Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-12, June.
    6. Reza Lotfi & Soroush Safavi & Alireza Gharehbaghi & Sara Ghaboulian Zare & Reza Hazrati & Gerhard-Wilhelm Weber, 2021. "Viable Supply Chain Network Design by considering Blockchain Technology and Cryptocurrency," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-18, November.
    7. Edvard Tijan & Saša Aksentijević & Katarina Ivanić & Mladen Jardas, 2019. "Blockchain Technology Implementation in Logistics," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    8. Surbhi Bhatia & Abdulaziz Saad Albarrak, 2023. "A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    9. Kuang-Sheng Liu & Ming-Hung Lin, 2021. "Performance Assessment on the Application of Artificial Intelligence to Sustainable Supply Chain Management in the Construction Material Industry," Sustainability, MDPI, vol. 13(22), pages 1-15, November.
    10. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    11. Ehsan Shekarian & Behrang Ijadi & Amirreza Zare & Jukka Majava, 2022. "Sustainable Supply Chain Management: A Comprehensive Systematic Review of Industrial Practices," Sustainability, MDPI, vol. 14(13), pages 1-30, June.
    12. George Baryannis & Sahar Validi & Samir Dani & Grigoris Antoniou, 2019. "Supply chain risk management and artificial intelligence: state of the art and future research directions," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2179-2202, April.
    13. Abirami Raja Santhi & Padmakumar Muthuswamy, 2022. "Influence of Blockchain Technology in Manufacturing Supply Chain and Logistics," Logistics, MDPI, vol. 6(1), pages 1-22, February.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhi Li & Fuhe Liang & Henan Hu, 2023. "Blockchain-Based and Value-Driven Enterprise Data Governance: A Collaborative Framework," Sustainability, MDPI, vol. 15(11), pages 1-15, May.
    2. Sina Abbasi & Maryam Moosivand & Ilias Vlachos & Mohammad Talooni, 2023. "Designing the Location–Routing Problem for a Cold Supply Chain Considering the COVID-19 Disaster," Sustainability, MDPI, vol. 15(21), pages 1-24, October.

    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. Muen Uddin & Shitharth Selvarajan & Muath Obaidat & Shams Ul Arfeen & Alaa O. Khadidos & Adil O. Khadidos & Maha Abdelhaq, 2023. "From Hype to Reality: Unveiling the Promises, Challenges and Opportunities of Blockchain in Supply Chain Systems," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    2. S. M. Misbauddin & Mohammad Jahangir Alam & Chitra Lekha Karmaker & Md. Noor Un Nabi & Md. Mahedi Hasan, 2023. "Exploring the Antecedents of Supply Chain Viability in a Pandemic Context: An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy," Sustainability, MDPI, vol. 15(3), pages 1-19, January.
    3. Emilia Vann Yaroson & Soumyadeb Chowdhury & Sachin Kumar Mangla & Prasanta Kumar Dey, 2024. "Unearthing the interplay between organisational resources, knowledge and industry 4.0 analytical decision support tools to achieve sustainability and supply chain wellbeing," Annals of Operations Research, Springer, vol. 342(2), pages 1321-1368, November.
    4. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    5. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    6. Kwang O. Park, 2020. "A Study on Sustainable Usage Intention of Blockchain in the Big Data Era: Logistics and Supply Chain Management Companies," Sustainability, MDPI, vol. 12(24), pages 1-15, December.
    7. Wang, Jiaxin & Zhao, Mu & Huang, Xiang & Song, Zilong & Sun, Di, 2024. "Supply chain diffusion mechanisms for AI applications: A perspective on audit pricing," International Review of Financial Analysis, Elsevier, vol. 93(C).
    8. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    9. Surbhi Bhatia & Abdulaziz Saad Albarrak, 2023. "A Blockchain-Driven Food Supply Chain Management Using QR Code and XAI-Faster RCNN Architecture," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    10. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
    11. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    12. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    13. Ti-An Chen, 2022. "Business Performance Evaluation for Tourism Factory: Using DEA Approach and Delphi Method," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    14. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    15. Seyyed-Alireza Radmanesh & Alireza Haji & Omid Fatahi Valilai, 2023. "Blockchain-Based Architecture for a Sustainable Supply Chain in Cloud Architecture," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    16. Pattanayak, Sirsha & Ramkumar, M. & Goswami, Mohit & Rana, Nripendra P., 2024. "Blockchain technology and supply chain performance: The role of trust and relational capabilities," International Journal of Production Economics, Elsevier, vol. 271(C).
    17. Hajar Fatorachian, 2024. "Leveraging Artificial Intelligence for Optimizing Logistics Performance: A Comprehensive Review," GATR Journals gjbssr655, Global Academy of Training and Research (GATR) Enterprise.
    18. Joon-Seok Kim & Nina Shin, 2019. "The Impact of Blockchain Technology Application on Supply Chain Partnership and Performance," Sustainability, MDPI, vol. 11(21), pages 1-17, November.
    19. Mohammadreza Akbari & John L. Hopkins, 2022. "Digital technologies as enablers of supply chain sustainability in an emerging economy," Operations Management Research, Springer, vol. 15(3), pages 689-710, December.
    20. Hind Aboussikine & Sonia Bendimerad & Thierry Sauvage & Mohamed Haouari, 2023. "Comment l’Intelligence Artificielle dompte la traçabilité des processus Supply Chain ? Application à NOZ France," Post-Print hal-04536092, HAL.

    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:gam:jsusta:v:15:y:2023:i:8:p:6905-:d:1127654. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.