TY - JOUR
T1 - SPTM-EC
T2 - A Security and Privacy-Preserving Task Management in Edge Computing for IIoT
AU - Sanwar Hosen, A. S.M.
AU - Sharma, Pradip Kumar
AU - Ra, In Ho
AU - Cho, Gi Hwan
N1 - Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) under Grant 2021R1F1A1059840.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - Data/tasks of Industrial Internet of Things (IIoT) are extremely private and valuable to computing. Edge computing facilitates IIoT services by offering platforms of supportive facilities and functionalities. However, the convergence of intelligent edge computing and IIoT platforms has been held back by the need to develop systems for maintaining security and privacy. In this article, we propose a new framework for securely and confidentially sending, storing, and computing IIoT tasks. This framework employs a lightweight encryption scheme alongside modified ElGamal encryption and digital signature schemes. We analyzed the robustness of this framework in terms of security and privacy, and assessed its performance through simulations. Ultimately, the proposed framework outperformed the existing models in terms of time complexity, latency, and energy consumption.
AB - Data/tasks of Industrial Internet of Things (IIoT) are extremely private and valuable to computing. Edge computing facilitates IIoT services by offering platforms of supportive facilities and functionalities. However, the convergence of intelligent edge computing and IIoT platforms has been held back by the need to develop systems for maintaining security and privacy. In this article, we propose a new framework for securely and confidentially sending, storing, and computing IIoT tasks. This framework employs a lightweight encryption scheme alongside modified ElGamal encryption and digital signature schemes. We analyzed the robustness of this framework in terms of security and privacy, and assessed its performance through simulations. Ultimately, the proposed framework outperformed the existing models in terms of time complexity, latency, and energy consumption.
KW - Edge computing
KW - Industrial Internet of Things (IIoT)
KW - security and privacy
KW - task management
UR - http://www.scopus.com/inward/record.url?scp=85118539680&partnerID=8YFLogxK
U2 - 10.1109/TII.2021.3123260
DO - 10.1109/TII.2021.3123260
M3 - Article
AN - SCOPUS:85118539680
VL - 18
SP - 6330
EP - 6339
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
SN - 1551-3203
IS - 9
ER -
