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1. 西安电子科技大学计算机科学与技术学院,陕西 西安 710071
2. 通信网信息传输与分发技术重点实验室,河北 石家庄 050002
[ "杨力(1977-),男,陕西乾县人,博士,西安电子科技大学教授、博士生导师,主要研究方向为可信计算、移动互联网安全、网络攻防等。" ]
[ "马卓茹(1996-),女,陕西宝鸡人,西安电子科技大学硕士生,主要研究方向为移动互联网安全等。" ]
[ "张程辉(1992-),男,河南灵宝人,西安电子科技大学硕士生,主要研究方向为移动互联网安全等。" ]
[ "裴庆祺(1975- ),男,广西玉林人,博士,西安电子科技大学教授、博士生导师,主要研究方向为数字内容保护与无线网络安全。" ]
网络出版日期:2019-07,
纸质出版日期:2019-07-25
移动端阅览
杨力, 马卓茹, 张程辉, 等. 基于步态特征的移动平台持续认证方案[J]. 通信学报, 2019,40(7):126-134.
Li YANG, Zhuoru MA, Chenghui ZHANG, et al. Mobile platform continuous authentication scheme based on gait characteristics[J]. Journal on communications, 2019, 40(7): 126-134.
杨力, 马卓茹, 张程辉, 等. 基于步态特征的移动平台持续认证方案[J]. 通信学报, 2019,40(7):126-134. DOI: 10.11959/j.issn.1000-436x.2019146.
Li YANG, Zhuoru MA, Chenghui ZHANG, et al. Mobile platform continuous authentication scheme based on gait characteristics[J]. Journal on communications, 2019, 40(7): 126-134. DOI: 10.11959/j.issn.1000-436x.2019146.
智能手机的普及使其对安全性有极高的要求,但传统的一次性认证方式,无法持续保证设备安全。针对此问题,提出了一种基于步态特征的持续认证方案,以实现对当前访问者的判别。所提方案采用移动平均滤波、基于阈值的有效值判断等操作降低噪声干扰,使用模板截取实现信息的最大化利用,并提出了最佳时域与频域特征组合以降低用户信息对存储空间的需求,通过支持向量机(SVM)实现身份认证功能。经实验测试,所提方案可达到对访问者身份的有效认证。
The popularity of smart phones renders people extremely high requirements for safety.But the traditional one-time authentication method can’t continuously guarantee the security of equipment.To solve the problem
a continuous authentication scheme based on gait characteristics was proposed to realize the identification of current visitors.Moving average filtering
threshold-based useful information interception method and other operations were adopted to reduce noise interference.Template interception was used to maximize the utilization of information
and an optimal combination of time domain features and frequency domain features were proposed to reduce the storage space requirement of users’ information.Finally
the support vector machine realized the identity authentication function.Experiments show that the proposed scheme can effectively authenticate the identities of visitors.
肖玲 , 李仁发 , 曾凡仔 , 等 . 基于自学习稀疏表示的动态手势识别方法 [J ] . 通信学报 , 2013 , 34 ( 6 ): 128 - 135 .
XIAO L , LI R F , ZENG F Z , et al . Gesture recognition approach based on learning sparse representation [J ] . Journal on Communications , 2013 , 34 ( 6 ): 128 - 135 .
BAILADOR G , SANCHEZ-AVILA C , GUERRA-CASANOVA J , et al . Analysis of pattern recognition techniques for in-air signature biometrics [J ] . Pattern Recognition , 2011 , 44 ( 10 ): 2468 - 2478 .
BUTHPITIYA S , DEY A K , GRISS M . Soft authentication with low-cost signatures [C ] // 2014 IEEE International Conference on Pervasive Computing and Communications (PerCom) . IEEE , 2014 : 172 - 180 .
王修晖 , 严珂 . 基于连续密度隐马尔可夫模型的人体步态识别 [J ] . 模式识别与人工智能 , 2016 , 29 ( 8 ): 709 - 716 .
WANG X H , YAN K . Human gait recognition using continuous density hidden Markov models [J ] . Pattern Recognition and Artificial Intelligence , 2016 , 29 ( 8 ): 709 - 716 .
BATCHULUUN G , NAQVI R A , KIM W , et al . Body-movement-based human identification using convolutional neural network [J ] . Expert Systems with Applications , 2018 , 101 : 56 - 77 .
AGGARWAL H , VISHWAKARMA D . Covariate conscious approach for gait recognition based upon Zernike moment invariants [J ] . IEEE Transactions on Cognitive and Developmental Systems , 2017 , 10 ( 2 ): 397 - 407 .
EI-ALFY H , MITSUGAMI I , YAGI Y . Gait recognition based on normal distance maps [J ] . IEEE Transactions on Cybernetics , 2018 , 48 ( 5 ): 1526 - 1539 .
MÄNTYJÄRVI J , LINDHOLM M , VILDJIOUNAITE E , et al . Identifying users of portable devices from gait pattern with accelerometers [C ] // Interference Conference on Acoustics,Speech and Signal Processing . 2005 : 973 - 976 .
LI Y , WANG X , QIAO F . Gait authentication based on acceleration signals of ankle [J ] . Chinese Journal of Electronics , 2011 , 20 ( 3 ): 447 - 451 .
THANG H M , VIET V Q , THUC N D , et al . Gait identification using accelerometer on mobile phone [C ] // International Conference on Control,Automation and Information Sciences (ICCAIS) . IEEE , 2012 : 344 - 348 .
ZHONG Y , DENG Y . Sensor orientation invariant mobile gait biometrics [C ] // IEEE International Joint Conference on Biometrics (IJCB) . IEEE , 2014 : 1 - 8 .
NICKEL C , BUSCH C . Classifying accelerometer data via hidden markov models to authenticate people by the way they walk [J ] . IEEE Aerospace and Electronic Systems Magazine , 2013 , 28 ( 10 ): 29 - 35 .
蒋伟 , 王瑞锦 , 余苏喆 , 等 . 基于步态识别的移动设备身份认证模型 [J ] . 电子科技大学学报 , 2019 , 48 ( 2 ): 272 - 277 .
JIANG W , WANG R J , YU S Z , et al . Research on identity authentication model of mobile devices based on gait recognition [J ] . Journal of University of Electronic Science and Technology of China , 2019 , 48 ( 2 ): 272 - 277 .
NIXON M S , CARTER J N , NASH J M , et al . Automatic gait recognition [C ] // The IEEE Colloquium on Motion Analysis and Tracking . IEEE , 1999 : 1 - 6 .
MURRAY M P . Gait as a total pattern of movement:including a bibliography on gait [J ] . American Journal of Physical Medicine & Rehabilitation , 1967 , 46 ( 1 ): 290 - 333 .
WU Z , HUANG Y , WANG L , et al . A comprehensive study on cross-view gait based human identification with deep CNNs [J ] . IEEE Transactions on Pattern Analysis & Machine Intelligence , 2017 , 39 ( 2 ): 209 - 226 .
AUVINET B , BERRUT G , TOUZARD C , et al . Reference data for normal subjects obtained with an accelerometric device [J ] . Gait &Posture , 2002 , 16 ( 2 ): 124 - 134 .
HOANG T , NGUYEN T D , LUONG C , et al . Adaptive cross-device gait recognition using a mobile accelerometer [J ] . Journal of Information Processing Systems , 2013 , 9 ( 2 ): 333 - 348 .
WANG J , CHEN Y , HU L , et al . Stratified transfer learning for cross-domain activity recognition [C ] // IEEE International Conference on Pervasive Computing and Communications (PerCom) . IEEE , 2018 : 1 - 10 .
徐国愚 , 苗许娜 , 张俊峰 , 等 . 面向移动终端的隐式身份认证机制综述 [J ] . 计算机工程与应用 , 2018 ( 6 ): 19 - 25 .
XU G Y , MIAO X N , ZHANG J F , et al . Overview of implicit identity authentication mechanism for mobile terminals [J ] . Computer Engineering and Applications , 2018 ( 6 ): 19 - 25 .
田麦久 , 刘大庆 . 运动训练学 [M ] . 北京 : 人民体育出版社 , 2012 .
TIAN M J , LIU D Q . Sports training [M ] . Beijing : People’s Sports Publishing House of ChinaPress , 2012 .
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