Verifiable data mining against malicious adversaries in industrial internet of things

• Main Authors: MA, Zhuoran, MA, Jianfeng, MIAO, Yinbin, LIU, Ximeng, CHOO, Kim-Kwang Raymond, GAO, Yu, DENG, Robert H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Industrial Internet of Things; Servers; Cloud computing; Cryptography; Training; Computational modeling; Informatics; Industrial Internet of Things (IIoT); linear regression (LR); malicious adversaries; privacy-preserving; verifiable; Information Security
• Online Access: https://ink.library.smu.edu.sg/sis_research/7243
• Institution: Singapore Management University

With the large-scaled data generated from various interconnected machines and networks, Industrial Internet of Things (IIoT) provides unprecedented opportunities for facilitating data mining for industrial applications. The current IIoT architecture tends to adopt cloud computing for further timely...