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个人信息：Personal Information
教授 博士生导师 研究生导师
主要任职：国家自然基金重大研究计划负责人
其他任职：陕西省网络与系统安全重点实验室无人系统安全方向技术负责人；西安市智能系统安全实验室副主任
性别：男
毕业院校：西安电子科技大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：在岗
所在单位：网络与信息安全学院
学科：网络空间安全
电子邮箱：
A Weighted Voting Framework for Android App's Vetting Based on Multiple Machine Learning Models
点击次数：
发表刊物：Network and System Security
摘要：Android’s openness and flexibility attract many cybercriminals to monitor user behavior or steal their personal information. To
address these issues, different machine learning (ML) algorithms and models are proposed for classifying Android benign or malicious applications. Algorithms such as Random Forest (RF), SVM, and Naive Bayes (NB) can classify with high accuracy. Each model is trained on a specific data set with specific algorithms. And they play with different performances in different scenarios. Besides, if one training data set is polluted by attackers, it would cause a high false
全部作者：习宁
论文编号：https://doi.org/10.1007/978-3-030-65745-1_4
页面范围：pages 63–78
是否译文：否