互联网终端防盗抢技术研究与实现
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摘要
针对移动互联网终端防盗抢问题,本文首先介绍了国内外基于移动感知的各类防盗抢应用,剖析了各类技术原理和优缺点,然后提出了融合多种移动感知信息、运用大数据边缘计算处理技术的防盗抢模型,并阐释了具体实现方法和架构,最后将该模型代入实际场景中进行验证,证明了该模型的有效性和实用性。
引文
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[10]Weisong Shi,Jie Cao,Quan Zhang.Edge Computing:Vision and Challenges.IEEE Internet of Things Journal,2016,3(5):637-646
[2]高嘉伟,王鑫鑫,刘鹏睿.基于移动感知的智能手机防盗软件的研究.计算机工程与应用,2016,52(24):75-79
[3]吴志强,曹蕾,王凯.基于智能手机的人体跌倒检测系统设计.计算机工程与设计,2014,35(4):1465-1470
[4]Ye H Dong,K Gu T.SMinder:Detect a Left-behind Phone using Sensor-based Context Awarenes.Mobile Netw App.2019:24-171
[5]Huizhong Hu,Philip K Chan.Using A Personalized Anomaly Detection Approach with Machine Learning to Detect Stolen Phoness//Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference(FLAIRS-31).2018:410-415
[6]Liu Xinyu,Wagner David.Detecting Phone Theft Using Machine Learning.The 2018 International Conference.2018,04(27):30-36
[7]Jin Meng,He Yuan.Iguard:A Real-time Anti-theft System for Smartphones//Proceedings of the IEEE Transactions on Mobile Computing.Exeter,UK,2018:67-70
[8]Chang S,Lu T,Song H.Smartdog:Real-time Detection of Smartphone Theft//Proceedings of the IEEE Transactions on Mobile Computing.Exeter,UK,2018:45-47
[9]施巍松,张星洲,王一帆,张庆阳.边缘计算:现状与展望.计算机研究与发展,2019,56(1):69-89
[10]Weisong Shi,Jie Cao,Quan Zhang.Edge Computing:Vision and Challenges.IEEE Internet of Things Journal,2016,3(5):637-646