Advanced Industrial SCIence (산업과 과학)

Convergence Society for SMB (중소기업융합학회)
권호 표지
DOI QR코드

DOI QR Code

A Research on building a Smart City Model based on DID(Decentralized-Identity) using Digital Twin

디지털 트윈을 활용한 DID 기반 스마트시티 모델 구축 연구

  • Sunghyuck Hong (Division of Advanced IT, IoT major, Baekseok University)
  • 홍성혁 (백석대학교 첨단IT학부, IoT 전공)
  • Received : 2024.08.11
  • Accepted : 2025.01.20
  • Published : 2025.01.30
Download PDF
⟨ Previous Next ⟩

Abstract

Urbanization exacerbates challenges in housing, transportation, energy, environment, welfare, and safety. This study proposes a "DID-based safe smart city model using digital twin" to enhance citizens' quality of life and advance societal development. We develop a standardized layer model for the Cognitive Internet of Things (CIoT) environment, utilizing blockchain's distributed ledger technology and Decentralized-Identity (DID) for secure device communication. Emphasizing explainable AI (eXplainable Artificial Intelligence), the model ensures transparency in processing IoT-collected big data. By integrating autonomous decision-making algorithms and real-time 3D data visualization through digital twins, the model enhances problem-solving and preventive capabilities. This research distinguishes itself by combining CIoT, blockchain (DID), and digital twin technologies to create a comprehensive smart city standard model addressing content integration and scalability.

도시화는 주거, 교통, 에너지, 환경, 복지, 안전 등의 분야에서 환경을 파괴하고 있다. 이 연구는 시민의 삶의 질을 향상시키고 사회 발전을 촉진하기 위해 "디지털 트윈을 활용한 DID 기반 안전 스마트 시티 모델"을 제안한다. 본 연구에서는 사물 인터넷(IoT) 환경을 위한 표준화된 계층 모델을 개발하고, 블록체인의 분산 장부 기술과 DID(Decentralized Identity)를 활용하여 안전한 장치 통신을 보장함. 또한, 설명 가능한 인공지능(eXplainable Artificial Intelligence)을 이용하여 IoT로 수집된 빅데이터 처리의 투명성을 보장하고, 자율적인 의사 결정 알고리즘과 디지털 트윈을 통한 실시간 3D 데이터 시각화를 통합하여 이 모델은 문제 해결 및 예방 기능을 향상시킨다. 따라서 이 연구는 CIoT, 블록체인(DID) 및 디지털 트윈 기술을 결합하여 콘텐츠 통합 및 확장성 문제를 해결하는 종합적인 스마트 시티 표준 모델을 만드는 데 필요한 구성요소를 제공하여 향후 스마트 시티 구축에 기여하는 연구이다.

Keywords

Acknowledgement

This research was supported by 2024 Baekseok University research fund.

References

  1. Dorri, A., Moustafa, N., Bahri, Z., & Ghaleb, A. (2020). Blockchain for IoT security and privacy: A systematic survey. IEEE Communications Surveys & Tutorials, 22(2), 1100-1138. https://ieeexplore.ieee.org/document/8215429
  2. Guo, Z., Zhang, C., Sun, L., & Liu, X. (2019). Explainable artificial intelligence for decision-making in smart cities. Artificial Intelligence, 272, 804-819. DOI : 10.1016/j.artint.2018.12.001
  3. Jang, W., Lee, M., & Lim, J. H. (2018). Digital twins for smart cities. Sustainability, 10(1), 153. DOI : 10.3390/su10010153
  4. Lin, J., Yu, W., Zhang, N., Wee, X., & Zhu, L. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1278-1295. https://ieeexplore.ieee.org/document/7995200
  5. Qi, Q., Dou, Q., Li, Y., Zhao, T., & Guo, X. (2022). A comprehensive survey of explainable artificial intelligence (XAI) for network traffic analysis. IEEE Communications Surveys & Tutorials, 24(2), 1150-1173. https://ieeexplore.ieee.org/document/9626293
  6. Razo-Zapata, I., Contreras-Castillo, J. A., & Teran-Quintero, J. M. (2020). The role of artificial intelligence in smart cities: Survey and future perspectives. Sustainable Cities and Societies, 58, 102229. DOI : 10.1016/j.scs.2020.102229
  7. Salehi, H., Ghalehbandi, S., Guo, H., & Zhao, J. (2021). Internet of things (IoT) in smart water grids: Review of the applications and challenges. Journal of Network and Computer Applications, 193, 103220.
  8. Sun, Y., Zhuang, Z., Xu, J., Lu, C., Li, X., & Guo, S. (2020). Security and privacy issues in blockchain-based internet-of-things systems: A survey. IEEE Access, 8, 167910-167934.
  9. Zou, Y., Shen, J., & Zhou, K. (2022). Artificial intelligence for smart cities: A survey. ACM Computing Surveys, 55(3), 1-43. https://dl.acm.org/doi/fullHtml/10.1145/2858789
  10. Yildiz, H. U., Alper, O. F., & Amza, C. P. (2022). Blockchain-based smart cities: Survey, challenges, and future directions. IEEE Access, 10, 10272-10289. http://ieeexplore.ieee.org/document/8642861/
  11. Li, X., Ali, M. A., Zuo, M., Sun, Y., & Liu, Y. (2022). A survey on explainable artificial intelligence for smart cities. ACM Computing Surveys, 55(3), 1-41. https://www.mdpi.com/2079-9292/12/4/1020 1020
  12. Ding, Y., Li, K., & Han, Y. (2022). Digital twin for smart cities: A survey of technologies, applications, and challenges. IEEE Access, 10, 10259-10271. https://ieeexplore.ieee.org/document/9576739
  13. Yu, W., Liang, F., &He, X. (2022). Blockchain-based secure data sharing for smart cities. IEEE Transactions on Emerging Topics in Computing, 10(1), 1-14. https://ieeexplore.ieee.org/document/7828539