IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i13p10068-d1179145.html
   My bibliography  Save this article

Critical Controlling for the Network Security and Privacy Based on Blockchain Technology: A Fuzzy DEMATEL Approach

Author

Listed:
  • Firuz Kamalov

    (Department of Electrical Engineering, Canadian University Dubai, Dubai 144534, United Arab Emirates)

  • Mehdi Gheisari

    (Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
    Department of Cognitive Computing, Institute of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India
    Department of Computer Science, Islamic Azad University of Tehran, Tehran 1468763785, Iran)

  • Yang Liu

    (Department of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
    Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies, Shenzhen 518055, China)

  • Mohammad Reza Feylizadeh

    (Department of Industrial Engineering, Shiraz Branch, Islamic Azad University, Shiraz 7473171987, Iran)

  • Sherif Moussa

    (Department of Electrical Engineering, Canadian University Dubai, Dubai 144534, United Arab Emirates)

Abstract

The Internet of Things (IoT) has been considered in various fields in the last decade. With the increasing number of IoT devices in the community, secure, accessible, and reliable infrastructure for processing and storing computed data has become necessary. Since traditional security protocols are unsuitable for IoT devices, IoT implementation is fraught with privacy and security challenges. Thus, blockchain technology has become an effective solution to the problems of IoT security. Blockchain is an empirical data distribution and storage model involving point-to-point transmission, consensus mechanism, asymmetric encryption, smart contract, and other computer technologies. Security and privacy are becoming increasingly important in using the IoT. Therefore, this study provides a comprehensive framework for classifying security criteria based on blockchain technology. Another goal of the present study is to identify causal relationship factors for the security issue using the Fuzzy Decision-Making Trial-and-Evaluation Laboratory (FDEMATEL) approach. In order to deal with uncertainty in human judgment, fuzzy logic is considered an effective tool. The present study’s results show the proposed approach’s efficiency. Authentication (CR6), intrusion detection (CR4), and availability (CR5) were also introduced as the most effective and essential criteria, respectively.

Suggested Citation

  • Firuz Kamalov & Mehdi Gheisari & Yang Liu & Mohammad Reza Feylizadeh & Sherif Moussa, 2023. "Critical Controlling for the Network Security and Privacy Based on Blockchain Technology: A Fuzzy DEMATEL Approach," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10068-:d:1179145
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/13/10068/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/13/10068/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shen, Bin & Xu, Xiaoyan & Yuan, Quan, 2020. "Selling secondhand products through an online platform with blockchain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    2. Schlecht, Laura & Schneider, Sabrina & Buchwald, Arne, 2021. "The prospective value creation potential of Blockchain in business models: A delphi study," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Lu Chen & Ayad Hendalianpour & Mohammad Reza Feylizadeh & Haiyan Xu, 2023. "Factors Affecting the Use of Blockchain Technology in Humanitarian Supply Chain: A Novel Fuzzy Large-Scale Group-DEMATEL," Group Decision and Negotiation, Springer, vol. 32(2), pages 359-394, April.
    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. Siqin, Tana & Yang, Lu & Chung, Sai-Ho & Wen, Xin, 2024. "Cross-channel influences in mobile-app-website e-commerce supply chains: When to weaken the influence?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    2. Jabbar, Abdul & Geebren, Ahmed & Hussain, Zahid & Dani, Samir & Ul-Durar, Shajara, 2023. "Investigating individual privacy within CBDC: A privacy calculus perspective," Research in International Business and Finance, Elsevier, vol. 64(C).
    3. Hiran, Kamal Kant & Dadhich, Manish, 2024. "Predicting the core determinants of cloud-edge computing adoption (CECA) for sustainable development in the higher education institutions of Africa: A high order SEM-ANN analytical approach," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    4. Li, Lin & Li, Guo, 2023. "Integrating logistics service or not? The role of platform entry strategy in an online marketplace," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    5. Zhou, Yu & Gao, Xiang & Luo, Suyuan & Xiong, Yu & Ye, Niangyue, 2022. "Anti-Counterfeiting in a retail Platform: A Game-Theoretic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    6. Khaled Naser Yousef Magableh & Selvi Kannan & Aladeen Yousef Rashid Hmoud, 2024. "Innovation Business Model: Adoption of Blockchain Technology and Big Data Analytics," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
    7. Xiaole Dou & Zenglu Li & Chun Liu, 2022. "Secondhand product quality disclosure strategy of the retailer under different supply chain structures," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(7), pages 2982-2999, October.
    8. Oscar Lage & María Saiz-Santos & José Manuel Zarzuelo, 2022. "Decentralized platform economy: emerging blockchain-based decentralized platform business models," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1707-1723, September.
    9. Zhongmiao Sun & Qi Xu & Jinrong Liu, 2023. "Dynamic Incentive Contract of Government for Port Enterprises to Reduce Emissions in the Blockchain Era: Considering Carbon Trading Policy," Sustainability, MDPI, vol. 15(16), pages 1-40, August.
    10. Cao, Yu & Yi, Chaoqun & Wan, Guangyu & Hu, Hanli & Li, Qingsong & Wang, Shouyang, 2022. "An analysis on the role of blockchain-based platforms in agricultural supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    11. Gu, Wei & Luo, Jing & Yu, Xiaoru & Zhang, Wenqing & Li, Baixun, 2023. "Dynamic decisions between sellers and consumers in online second-hand trading platforms: Evidence from C2C transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    12. Wang, Weizhong & Chen, Yu & Wang, Yi & Deveci, Muhammet & Cheng, Shuping & Brito-Parada, Pablo R., 2024. "A decision support framework for humanitarian supply chain management – Analysing enablers of AI-HI integration using a complex spherical fuzzy DEMATEL-MARCOS method," Technological Forecasting and Social Change, Elsevier, vol. 206(C).
    13. Zhang, Tianyu & Dong, Peiwu & Chen, Xiangfeng & Gong, Yu, 2023. "The impacts of blockchain adoption on a dual-channel supply chain with risk-averse members," Omega, Elsevier, vol. 114(C).
    14. Li, Guo & Xue, Jing & Li, Na & Ivanov, Dmitry, 2022. "Blockchain-supported business model design, supply chain resilience, and firm performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    15. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).
    16. Niu, Baozhuang & Xu, Haotao & Chen, Lei, 2022. "Creating all-win by blockchain in a remanufacturing supply chain with consumer risk-aversion and quality untrust," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    17. Zhang, Qian & Li, Yongjian & Hou, Pengwen & Wang, Jun, 2024. "Price signal or blockchain technology? Quality information disclosure in dual-channel supply chains," European Journal of Operational Research, Elsevier, vol. 316(1), pages 126-137.
    18. Chernonog, Tatyana & Levy, Priel, 2023. "Co-creation of mobile app quality in a two-platform supply chain when platforms are asymmetric," European Journal of Operational Research, Elsevier, vol. 308(1), pages 183-200.
    19. Sarker, Indranil & Datta, Bidisha, 2022. "Re-designing the pension business processes for achieving technology-driven reforms through blockchain adoption: A proposed architecture," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Cao, Yifan & Li, Qingying & Shen, Bin & Wang, Yulan, 2023. "Buyer collaboration in managing supplier responsibility with ESG due diligence effort spillover and fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).

    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:13:p:10068-:d:1179145. 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.