Abstract
The Internet of things is a new technological revolution following the computer and Internet. It aims to connect all physical objects existing in the world and forms a network with everything. In recent years, smart home gradually enters into our life. Smart home uses the Internet of things technology to connect all kinds of devices in the home, to achieve a smart home environment. Although the development of smart home has brought a qualitative leap to people’s life, there are many problems in security. Privacy security is one of the challenges to the smart home environment. Attackers can intrude various smart devices in the smart home environment, to achieve the purpose of stealing users’ personal information and privacy. Among these devices, smart cameras are the most intruded frequently. Since many cameras are installed in users’ homes to achieve real-time monitoring of the environment, but the existence of these cameras provides a channel to get information for attackers. In recent years, the leak of video privacy is emerging in an endless stream. According to the researches about privacy protection, this paper proposes a new scheme to selectively encrypt the video captured by the cameras through machine learning technology, so as to protect the personal privacy of users and improve the security of the smart home environment.
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Acknowledgments
This paper is supported by NSFC under Grant No. 61672350 and 61373149, NSSFC under Grant No.16BGL003, Ministry of Education Fund under Grant No. 39120K178038 and 14YJA880033, SIT Collaborative innovation platform under Grant No. 3921NH166033, and SIT Foundation for Distinguished Scholars under Grant No. 39120K176049. We are also grateful for the support of the National Natural Science Foundation of China (61170227).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Xue, Q. et al. (2019). A Video-Selection-Encryption Privacy Protection Scheme Based on Machine Learning in Smart Home Environment. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 287. Springer, Cham. https://doi.org/10.1007/978-3-030-22971-9_6
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DOI: https://doi.org/10.1007/978-3-030-22971-9_6
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