Security and Privacy of Smart Home Systems Based on the Internet of Things and Stereo Matching Algorithms

作     者：Yang, Aimin Zhang, Chunying Chen, Yongjie Zhuansun, Yunxi Liu, Huixiang 

作者机构：North China Univ Sci & Technol Coll Sci Tangshan 063210 Peoples R China North China Univ Sci & Technol Key Lab Engn Calculat Tangshan City Tangshan 063000 Peoples R China 

出 版 物：《IEEE INTERNET OF THINGS JOURNAL》 (IEEE Internet Things J.)

年 卷 期：2020年第7卷第4期

页      面：2521-2530页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：National Natural Science Foundation of China Natural Science Foundation of Hebei [E2017209178] Outstanding Youth Fund Project of North China University of Science and Technology [JQ201705] 

主　　题：Smart homes Internet of Things Monitoring Security Hardware Image recognition Zigbee Internet of Things (IoT) security and privacy smart home systems stereo matching algorithms 

摘      要：With the rapid development of the Internet of Things (IoT), security and privacy of smart home systems based on IoT are more and more popular. As the key component of IoT, wireless communication and sensor technology are prerequisites for the security and confidentiality of smart home systems. The smart home systems integrate electronic information technology and computer control. By designing and installing various sensors in the home for collecting data, and then using the IoT platform for data transmission, the remote control of the home running state can be realized. The home security is guaranteed. This article designs IoT architecture of smart home, and then hardware and software are designed according to the system architecture. The hardware part is mainly analyzed from the image recognition module and the speech recognition module. In addition, a stereo matching algorithm for smart video surveillance is proposed to optimize the accuracy of the surveillance system. Finally, the simulation results prove that the designed smart home systems have a low cost and high accuracy. It not only optimizes the performance of smart home systems but also improves the safety factor.