BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol

Article Properties
  • Publication Date
    2023/12/15
  • Indian UGC (journal)
  • Refrences
    42
  • Fengqi Li School of Software, Dalian Jiaotong University, Dalian, China ORCID (unauthenticated)
  • Hui Xu School of Software, Dalian Jiaotong University, Dalian, China
  • Qingqing Song School of Software, Dalian Jiaotong University, Dalian, China
  • Lupeng Zhang School of Software, Dalian University of Technology, Dalian, China ORCID (unauthenticated)
  • Xuefeng Du School of Software, Dalian Jiaotong University, Dalian, China
  • Ning Tong School of Software, Dalian Jiaotong University, Dalian, China
  • Deguang Wang School of Software, Dalian Jiaotong University, Dalian, China
Cite
Li, Fengqi, et al. “BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol”. IEEE Internet of Things Journal, vol. 10, no. 24, 2023, pp. 21633-46, https://doi.org/10.1109/jiot.2023.3308725.
Li, F., Xu, H., Song, Q., Zhang, L., Du, X., Tong, N., & Wang, D. (2023). BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol. IEEE Internet of Things Journal, 10(24), 21633-21646. https://doi.org/10.1109/jiot.2023.3308725
Li F, Xu H, Song Q, Zhang L, Du X, Tong N, et al. BLMA: Editable Blockchain-Based Lightweight Massive IIoT Device Authentication Protocol. IEEE Internet of Things Journal. 2023;10(24):21633-46.
Refrences
Title Journal Journal Categories Citations Publication Date
An efficient inter-enterprise authentication scheme for VE based on the elliptic curve cryptosystem 2014
Identity-based cross-domain authentication scheme in pervasive computing environments 2011
Chameleon hashing and signatures 1998
An adaptive and robust secret key extraction scheme from high noise wireless channel in IIoT Digital Communications and Networks 3 2023
10.1007/3-540-61770-1_45