计算机应用与软件2024，Vol.41Issue(7)：6-12,48,8.DOI:10.3969/j.issn.1000-386x.2024.07.002
基于API参数语义分析的安卓应用行为细粒度表征方法
FINE-GRAINED BEHAVIOR REPRESENTATION FOR ANDROID APPLICATIONS BASED ON API PARAMETER SEMANTIC ANALYSIS
摘要
Abstract
API-based behavior representation is currently an important part of mainstream Android malware detection and classification.However,due to the rough development of Android APIs,this method faces the problem of coarse granularity and is unable to precisely describe application behaviors.In response to this problem,an automatic API parameter semantic analysis method is proposed,which is based on program analysis and natural language processing technology.It refined the representation granularity from API to its parameters and realized a fine-grained representation of application behaviors.Experimental results show that this method can significantly improve the precision of Android application behavior representation,and enhance the effectiveness of tasks such as malware detection and classification.关键词
行为细粒度表征/恶意软件检测/参数语义分析/自然语言处理Key words
Fine-grained behavior representation/Malware detection/Parameter semantic analysis/Natural language processing分类
信息技术与安全科学引用本文复制引用
贺瑞,张晓寒,张源..基于API参数语义分析的安卓应用行为细粒度表征方法[J].计算机应用与软件,2024,41(7):6-12,48,8.基金项目
国家自然科学基金项目(61972099,U1836210,U1836213,U1736208) （61972099,U1836210,U1836213,U1736208）
上海市自然科学基金项目(19ZR1404800). （19ZR1404800）
