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DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model 期刊论文
NEUROCOMPUTING, 2018, 卷号: 272, 期号: 1, 页码: 638-646
Authors:  Zhu, HJ (Zhu, Hui-Juan);  You, ZH (You, Zhu-Hong);  Zhu, ZX (Zhu, Ze-Xuan);  Shi, WL (Shi, Wei-Lei);  Chen, X (Chen, Xing);  Cheng, L (Cheng, Li)
Adobe PDF(1051Kb)  |  Favorite  |  View/Download:46/1  |  Submit date:2018/01/02
Rotation Forests  Malware Detection  Neural Network  Mobile Phones  
HEMD: a highly efficient random forest-based malware detection framework for Android 期刊论文
NEURAL COMPUTING & APPLICATIONS, 2018, 卷号: 30, 期号: 11, 页码: 3353-3361
Authors:  Zhu, HJ (Zhu, Hui-Juan)[ 1,2,3 ];  Jiang, TH (Jiang, Tong-Hai)[ 1,3 ];  Ma, B (Ma, Bo)[ 1,3 ];  You, ZH (You, Zhu-Hong)[ 1,3 ];  Shi, WL (Shi, Wei-Lei)[ 1 ];  Cheng, L (Cheng, Li)[ 1,3 ]
Adobe PDF(794Kb)  |  Favorite  |  View/Download:20/0  |  Submit date:2019/07/10
Random forest  Malware detection  Android  Support vector machine  Requested permissions  
A Semisupervised Tag-Transition-Based Markovian Model for Uyghur Morphology Analysis 期刊论文
ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING, 2016, 卷号: 16, 期号: 2, 页码: 8-23
Authors:  Tursun, E (Tursun, Eziz);  Ganguly, D (Ganguly, Debasis);  Osman, T (Osman, Turghun);  Yang, YT (Yang, Ya-Ting);  Abdukerim, G (Abdukerim, Ghalip);  Zhou, JL (Zhou, Jun-Lin);  Liu, Q (Liu, Qun)
Adobe PDF(1325Kb)  |  Favorite  |  View/Download:134/2  |  Submit date:2017/02/14
Uyghur Morphological Analysis  Markov Model