IoT-Based Improved Human Motion Estimations Method under Cyber Attacks
Human beings and control centers are usually far away from each other, so cyber attacks on the sensor measurements can lead to loss of user privacy, information, and trust. Driven by this motivation, this letter proposes an Internet of Things (IoT)-based human motion estimations algorithm under cyber attacks. The sensing measurements are transmitted to the control center over an unreliable communication channel where cyber attack occurs. Based on the mean squared error, the optimal state estimation algorithm is derived to estimate human motions. Simulation results show that the proposed method provides significant performance improvement compared with the existing approach.
M. M. Rana and R. Bo, "IoT-Based Improved Human Motion Estimations Method under Cyber Attacks," IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10934-10935, Institute of Electrical and Electronics Engineers (IEEE), Dec 2019.
The definitive version is available at https://doi.org/10.1109/JIOT.2019.2932980
Electrical and Computer Engineering
Center for Research in Energy and Environment (CREE)
Keywords and Phrases
Communication Channel; Control Center; Cyber Attacks; Human Motion Estimations; Internet of Things (IoT); Sensors
International Standard Serial Number (ISSN)
Article - Journal
© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Dec 2019