IoT-Based Improved Human Motion Estimations Method Under Cyber Attacks
IEEE Internet of Things Journal, ISSN: 2327-4662, Vol: 6, Issue: 6, Page: 10934-10935
2019
- 9Citations
- 28Usage
- 22Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations9
- Citation Indexes9
- CrossRef6
- Usage28
- Abstract Views28
- Captures22
- Readers22
- 22
Article Description
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.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85076733004&origin=inward; http://dx.doi.org/10.1109/jiot.2019.2932980; https://ieeexplore.ieee.org/document/8787893/; https://scholarsmine.mst.edu/ele_comeng_facwork/4197; https://scholarsmine.mst.edu/cgi/viewcontent.cgi?article=5224&context=ele_comeng_facwork
Institute of Electrical and Electronics Engineers (IEEE)
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