基于动态赋能的智能家居网络安全防御系统设计研究
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摘要
智能家居的出现给用户带来便利,大大改善了人类的生活,但随着智能家居的快速发展,其背后隐藏的安全隐患,诸如用户数据被盗导致的隐私泄漏、智能家居被非法入侵等问题也开始逐渐引起人们的关注。本文针对智能家居网络安全的薄弱环节与关键特点,基于双层动态赋能的系统架构,提出智能家居网络安全防御系统,并结合声纹与人脸等安全验证手段,构建一个安全可靠的智能家居网络安全解决方案。
The emergence of smart homes has brought convenience to users and greatly improved the lives of human beings. However, with the rapid development of smart homes, the hidden hidden dangers behind them, such as the leakage of privacy caused by the theft of user data, the illegal invasion of smart homes, etc. It has also begun to attract people's attention. The system adopts a two-layer dynamic empowerment system architecture for the weak links and key features of smart home network security, and uses this to deploy smart home security solutions, linking voiceprints to face and other security verification elements. Through the division of labor and cooperation between the modules, build a safe and reliable smart home network security solution.
The emergence of smart homes has brought convenience to users and greatly improved the lives of human beings. However, with the rapid development of smart homes, the hidden hidden dangers behind them, such as the leakage of privacy caused by the theft of user data, the illegal invasion of smart homes, etc. It has also begun to attract people's attention. The system adopts a two-layer dynamic empowerment system architecture for the weak links and key features of smart home network security, and uses this to deploy smart home security solutions, linking voiceprints to face and other security verification elements. Through the division of labor and cooperation between the modules, build a safe and reliable smart home network security solution.
引文
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[2]GeekPwn.智能物联网安全风险报告[J].信息安全与通信保密,2017(10):92-109.
[3]杨林,于全.动态赋能网络空间防御[M].北京:人民邮电出版社,2016.23-24
[4]周椿入.智能家居物联网系统安全测评技术研究[D].北京:北京邮电大学,2018.
[5]Almahafzah H,Sheshadri HS,Imran M.Multi-Algorithm Decision Level Fusion Using Finger-Knuckle-Print Biometric[J].Lecture-Notesin Electrical Engineering,2014,248:39-47.
[6]杨瑞瑞.基于文本无关的声纹识别算法的研究及实现[D].四川:电子科技大学,2017.
[7]梁文莉.基于独立成分分析的人脸识别算法研究[D].西安:西安科技大学,2012.
[8]李芳芳.SM3国密算法在基层人行系统的应用探索[J].金融电子化,2016(4):79.
[9]曾谁飞,张笑燕,杜晓峰,陆天波.改进的朴素贝叶斯增量算法研究[J].通信学报,2016,37(10):81-91.