IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v12y2020i4p68-d346032.html
   My bibliography  Save this article

Blockchain Behavioral Traffic Model as a Tool to Influence Service IT Security

Author

Listed:
  • Vasiliy Elagin

    (Infocommunication Systems Department, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Anastasia Spirkina

    (Infocommunication Systems Department, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

  • Andrei Levakov

    (Center Macro-regional Branch or PJSC Rostelecom, 123298 Moscow, Russia)

  • Ilya Belozertsev

    (Infocommunication Systems Department, The Bonch-Bruevich Saint-Petersburg State University of Telecommunications, 193232 Saint Petersburg, Russia)

Abstract

The present article describes the behavioral model of blockchain services; their reliability is confirmed on the basis of experimental data. The authors identify the main technical characteristics and features associated with data transmission through the network. The authors determine the network scheme, working with blockchain transactions and the dependence of network characteristics on application parameters. They analyze the application of this model for the detection of the blockchain service and the possibility of the existing security mechanisms of this technology being evaded. Furthermore, the article offers recommendations for hiding the blockchain traffic profile to significantly complicate its identification in the data network.

Suggested Citation

  • Vasiliy Elagin & Anastasia Spirkina & Andrei Levakov & Ilya Belozertsev, 2020. "Blockchain Behavioral Traffic Model as a Tool to Influence Service IT Security," Future Internet, MDPI, vol. 12(4), pages 1-12, April.
  • Handle: RePEc:gam:jftint:v:12:y:2020:i:4:p:68-:d:346032
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/12/4/68/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/12/4/68/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Konstantinos Sgantzos & Ian Grigg, 2019. "Artificial Intelligence Implementations on the Blockchain. Use Cases and Future Applications," Future Internet, MDPI, vol. 11(8), pages 1-15, August.
    2. Luisanna Cocco & Andrea Pinna & Michele Marchesi, 2017. "Banking on Blockchain: Costs Savings Thanks to the Blockchain Technology," Future Internet, MDPI, vol. 9(3), pages 1-20, June.
    3. YangQun Li, 2018. "An Integrated Platform for the Internet of Things Based on an Open Source Ecosystem," Future Internet, MDPI, vol. 10(11), pages 1-27, October.
    4. Valentina Gatteschi & Fabrizio Lamberti & Claudio Demartini & Chiara Pranteda & Víctor Santamaría, 2018. "Blockchain and Smart Contracts for Insurance: Is the Technology Mature Enough?," Future Internet, MDPI, vol. 10(2), pages 1-16, 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. Claudia Antal & Tudor Cioara & Ionut Anghel & Marcel Antal & Ioan Salomie, 2021. "Distributed Ledger Technology Review and Decentralized Applications Development Guidelines," Future Internet, MDPI, vol. 13(3), pages 1-32, February.
    2. Andrei Vladyko & Anastasia Spirkina & Vasiliy Elagin, 2021. "Towards Practical Applications in Modeling Blockchain System," Future Internet, MDPI, vol. 13(5), pages 1-11, May.
    3. Meenakshi Kandpal & Niharika Keshari & Amrendra Singh Yadav & Mohit Yadav & Rabindra Kumar Barik, 2024. "Modelling of blockchain based queuing theory implementing preemptive and non-preemptive algorithms," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(6), pages 2554-2570, June.

    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. Dénes László Fekete & Attila Kiss, 2021. "A Survey of Ledger Technology-Based Databases," Future Internet, MDPI, vol. 13(8), pages 1-22, July.
    2. Valentina Gatteschi & Fabrizio Lamberti & Claudio Demartini & Chiara Pranteda & Víctor Santamaría, 2018. "Blockchain and Smart Contracts for Insurance: Is the Technology Mature Enough?," Future Internet, MDPI, vol. 10(2), pages 1-16, February.
    3. Tan Yigitcanlar & Kevin C. Desouza & Luke Butler & Farnoosh Roozkhosh, 2020. "Contributions and Risks of Artificial Intelligence (AI) in Building Smarter Cities: Insights from a Systematic Review of the Literature," Energies, MDPI, vol. 13(6), pages 1-38, March.
    4. Sachin Kumar Mangla & Yiğit Kazançoğlu & Abdullah Yıldızbaşı & Cihat Öztürk & Ahmet Çalık, 2022. "A conceptual framework for blockchain‐based sustainable supply chain and evaluating implementation barriers: A case of the tea supply chain," Business Strategy and the Environment, Wiley Blackwell, vol. 31(8), pages 3693-3716, December.
    5. Komulainen, Ruey & Nätti, Satu, 2023. "Barriers to blockchain adoption: Empirical observations from securities services value network," Journal of Business Research, Elsevier, vol. 159(C).
    6. Radosław Miśkiewicz & Krzysztof Matan & Jakub Karnowski, 2022. "The Role of Crypto Trading in the Economy, Renewable Energy Consumption and Ecological Degradation," Energies, MDPI, vol. 15(10), pages 1-15, May.
    7. Martin Eling & Davide Nuessle & Julian Staubli, 2022. "The impact of artificial intelligence along the insurance value chain and on the insurability of risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 205-241, April.
    8. Khan, Nida & Kchouri, Bilal & Yatoo, Nissar Ahmad & Kräussl, Zsofia & Patel, Anass & State, Radu, 2022. "Tokenization of sukuk: Ethereum case study," Global Finance Journal, Elsevier, vol. 51(C).
    9. Christian Eckert & Christof Neunsinger & Katrin Osterrieder, 2022. "Managing customer satisfaction: digital applications for insurance companies," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(3), pages 569-602, July.
    10. Jia, Zhenzhen & Tiwari, Sunil & Zhou, Jianhua & Farooq, Muhammad Umar & Fareed, Zeeshan, 2023. "Asymmetric nexus between Bitcoin, gold resources and stock market returns: Novel findings from quantile estimates," Resources Policy, Elsevier, vol. 81(C).
    11. Meennapa Rukhiran & Songwut Boonsong & Paniti Netinant, 2024. "Sustainable Optimizing Performance and Energy Efficiency in Proof of Work Blockchain: A Multilinear Regression Approach," Sustainability, MDPI, vol. 16(4), pages 1-38, February.
    12. Rashi Saxena & E. Gayathri & Lalitha Surya Kumari, 2023. "Semantic analysis of blockchain intelligence with proposed agenda for future issues," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 34-54, March.
    13. Yasmine Souissi & Ferdaws Ezzi & Anis Jarboui, 2024. "Blockchain Adoption and Financial Distress: Mediating Role of Information Asymmetry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3903-3926, March.
    14. Cerchione, Roberto & Centobelli, Piera & Riccio, Emanuela & Abbate, Stefano & Oropallo, Eugenio, 2023. "Blockchain’s coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem," Technovation, Elsevier, vol. 120(C).
    15. Yeray Mezquita & Ana Belén Gil-González & Angel Martín del Rey & Javier Prieto & Juan Manuel Corchado, 2022. "Towards a Blockchain-Based Peer-to-Peer Energy Marketplace," Energies, MDPI, vol. 15(9), pages 1-20, April.
    16. Qingfeng Zhu & Rui Zong & Mengqi Xu, 2023. "Three-Party Stochastic Evolutionary Game Analysis of Supply Chain Finance Based on Blockchain Technology," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    17. Claudia Antal & Tudor Cioara & Ionut Anghel & Marcel Antal & Ioan Salomie, 2021. "Distributed Ledger Technology Review and Decentralized Applications Development Guidelines," Future Internet, MDPI, vol. 13(3), pages 1-32, February.
    18. Rameez Asif & Syed Raheel Hassan & Gerard Parr, 2023. "Integrating a Blockchain-Based Governance Framework for Responsible AI," Future Internet, MDPI, vol. 15(3), pages 1-21, February.
    19. Antonio Fusco & Grazia Dicuonzo & Vittorio Dell’Atti & Marco Tatullo, 2020. "Blockchain in Healthcare: Insights on COVID-19," IJERPH, MDPI, vol. 17(19), pages 1-12, September.
    20. Vincent Charles & Ali Emrouznejad & Tatiana Gherman, 2023. "A critical analysis of the integration of blockchain and artificial intelligence for supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 7-47, August.

    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:jftint:v:12:y:2020:i:4:p:68-:d:346032. 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.