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A Study on Improvement of Blockchain Application to Overcome Vulnerability of IoT Multiplatform Security

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  • Seong-Kyu Kim

    (School of Electronic and Electrical Computer Engineering, Sungkyunkwan University, Suwon 110-745, Korea)

  • Ung-Mo Kim

    (School of Electronic and Electrical Computer Engineering, Sungkyunkwan University, Suwon 110-745, Korea)

  • Jun-Ho Huh

    (Department of Software, Catholic University of Pusan, Busan 46252, Korea)

Abstract

IoT devices are widely used in the smart home, automobile, and aerospace areas. Note, however, that recent information on thefts and hacking have given rise to many problems. The aim of this study is to overcome the security weaknesses of existing Internet of Things (IoT) devices using Blockchain technology, which is a recent issue. This technology is used in Machine-to-Machine (M2M) access payment—KYD (Know Your Device)—based on the reliability of existing IoT devices. Thus, this paper proposes a BoT (Blockchain of Things) ecosystem to overcome problems related to the hacking risk of IoT devices to be introduced, such as logistics management and history management. There are also many security vulnerabilities in the sensor multi-platform from the IoT point of view. In this paper, we propose a model that solves the security vulnerability in the sensor multi-platform by using blockchain technology on an empirical model. The color spectrum chain mentioned in this paper suggests a blockchain technique completed by using the multiple-agreement algorithm to enhance Thin-Plate Spline (TPS) performance and measure various security strengths. In conclusion, we propose a radix of the blockchain’s core algorithm to overcome the weaknesses of sensor devices such as automobile, airplane, and close-circuit television (CCTV) using blockchain technology. Because all IoT devices use wireless technology, they have a fundamental weakness over wired networks. Sensors are exposed to hacking and sensor multi-platforms are vulnerable to security by multiple channels. In addition, since IoT devices have a lot of security weaknesses we intend to show the authentication strength of security through the color spectrum chain and apply it to sensor and multi-platform using Blockchain in the future.

Suggested Citation

  • Seong-Kyu Kim & Ung-Mo Kim & Jun-Ho Huh, 2019. "A Study on Improvement of Blockchain Application to Overcome Vulnerability of IoT Multiplatform Security," Energies, MDPI, vol. 12(3), pages 1-29, January.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:3:p:402-:d:201189
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    References listed on IDEAS

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    1. Sikorski, Janusz J. & Haughton, Joy & Kraft, Markus, 2017. "Blockchain technology in the chemical industry: Machine-to-machine electricity market," Applied Energy, Elsevier, vol. 195(C), pages 234-246.
    2. Peters, Gareth W. & Panayi, Efstathios & Chapelley, Ariane, 2015. "Trends in cryptocurrencies and blockchain technologies: a monetary theory and regulation perspective," Journal of Financial Perspectives, EY Global FS Institute, vol. 3(3), pages 92-113.
    3. Jun-Ho Huh, 2018. "Server Operation and Virtualization to Save Energy and Cost in Future Sustainable Computing," Sustainability, MDPI, vol. 10(6), pages 1-20, June.
    4. Jun-Ho Huh, 2018. "Implementation of lightweight intrusion detection model for security of smart green house and vertical farm," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.
    5. Seong-Kyu Kim & Jun-Ho Huh, 2018. "A Study on the Improvement of Smart Grid Security Performance and Blockchain Smart Grid Perspective," Energies, MDPI, vol. 11(8), pages 1-22, July.
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    Cited by:

    1. Changping Zhao & Juanjuan Sun & Yu Gong & Zhi Li & Peter Zhou, 2022. "Research on the Blue Carbon Trading Market System under Blockchain Technology," Energies, MDPI, vol. 15(9), pages 1-17, April.
    2. Elif Ustundag Soykan & Mustafa Bagriyanik, 2020. "The Effect of SMiShing Attack on Security of Demand Response Programs," Energies, MDPI, vol. 13(17), pages 1-17, September.
    3. Emilio Abad-Segura & Alfonso Infante-Moro & Mariana-Daniela González-Zamar & Eloy López-Meneses, 2021. "Blockchain Technology for Secure Accounting Management: Research Trends Analysis," Mathematics, MDPI, vol. 9(14), pages 1-26, July.
    4. Ahmad Firdaus & Mohd Faizal Ab Razak & Ali Feizollah & Ibrahim Abaker Targio Hashem & Mohamad Hazim & Nor Badrul Anuar, 2019. "The rise of “blockchain”: bibliometric analysis of blockchain study," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1289-1331, September.
    5. Jun-Ho Huh & Seong-Kyu Kim, 2019. "The Blockchain Consensus Algorithm for Viable Management of New and Renewable Energies," Sustainability, MDPI, vol. 11(11), pages 1-26, June.
    6. Wang Shijie & Zhang Yingfeng, 2021. "A credit-based dynamical evaluation method for the smart configuration of manufacturing services under Industrial Internet of Things," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1091-1115, April.
    7. Wonchan Lee & Chang-Sung Jeong, 2022. "Low Power Sensor Location Prediction Using Spatial Dimension Transformation and Pattern Recognition," Energies, MDPI, vol. 15(12), pages 1-20, June.
    8. Seong-Kyu Kim & Jun-Ho Huh, 2020. "Blockchain of Carbon Trading for UN Sustainable Development Goals," Sustainability, MDPI, vol. 12(10), pages 1-32, May.

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