Title

IoT-Based Improved Human Motion Estimations Method under Cyber Attacks

Abstract

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.

Department(s)

Electrical and Computer Engineering

Research Center/Lab(s)

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)

2327-4662

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2019 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 Dec 2019

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