.png){kind=icon}
返回
IoT-Based Improved Human Motion Estimations Method Under Cyber Attacks
.png){kind=icon}
PRE
AI
DOI：10.1109/JIOT.2019.2932980.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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.
Keyword:
Communication channel
control center
cyber attacks
human motion estimations
Internet of Things (IoT)
sensors
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
Deceptive Attack and Defense Game in Honeypot-Enabled Networks for the Internet of Things用于物联网的蜜罐网络中的欺骗性攻击和防御游戏
.png){kind=icon}
PREAI
分享收藏分享收藏 没有更多内容
没有更多内容