欺诈类手机恶意软件识别方法研究

摘要

提出了一种欺诈类手机恶意软件多维度检测模型，通过静态检测识别和动态运行验证的双重验证法确保恶意软件的精准识别。建立签名信息、权限、分组名等多个维度的应用软件特征识别库，根据特征库将应用软件打上正常软件和恶意软件的标签，最大限度完善现有欺诈类手机恶意软件安全防护手段，支撑第三方应用软件商店规范发展，有效提升用户对欺诈类手机恶意软件防范意识和保护手机使用安全起到积极作用。%The paper describes the multi dimension model of detecting mobile malware problems. Through the double verification method of static and dynamic operation of the mobile malware problems, eventually the mobile malware problems can be accurately identified. Establishing a software characteristic of library, which includes the dimension information of signature, permission and package name. According to the characteristics of library, the application software can be tagged of good or malicious software to help mobile phone users to prevent the malware software problems.