[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-13566":3,"doc-seo-13566":26},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"file_id":15,"file_url":16,"file_type":17,"file_size":18,"view_count":19,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"table_of_contents":24,"faqs":24,"seo_title":13,"seo_description":14,"update_tm":25,"read_time":19},13566,962075006959,"Anda","https://ap-avatar.wpscdn.com/avatar/e0002397efbe92a78e?_k=1776741047341049297",8,"Research & Report","Android Behavior Based Malware Detection Method Using Machine Learning","通过改进 Android 动态分析沙箱 Droidbox，加入基于视图识别的自动触发程序以按有意义的顺序交互应用，捕获网络活动、文件读写与权限等行为数据作为特征。基于大量恶意样本与正常应用样本，使用不同机器学习算法进行恶意/正常分类，并评估检测性能以验证方法的高准确性。","cbCainmpIEK4mezy","https://ap.wps.com/l/cbCainmpIEK4mezy","pdf",979197,10,1,4,"English","en","",1776555666,{"code":4,"msg":27,"data":28},"ok",{"site_id":29,"language":23,"slug":30,"title":13,"keywords":24,"description":14,"schema_data":31,"social_meta":65,"head_meta":68,"extra_data":70,"updated_unix":25},105,"android-behavior-based-malware-detection-method-using-machine-learning",{"@graph":32,"@context":64},[33,49],{"@type":34,"itemListElement":35},"BreadcrumbList",[36,40,44,47],{"item":37,"name":38,"@type":39,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":41,"name":42,"@type":39,"position":43},"https://docshare.wps.com/document/","Document",2,{"item":45,"name":12,"@type":39,"position":46},"https://docshare.wps.com/document/research-report/",3,{"item":48,"name":13,"@type":39,"position":21},"https://docshare.wps.com/document/android-behavior-based-malware-detection-method-using-machine-learning/13566/",{"url":48,"name":13,"@type":50,"author":51,"headline":13,"publisher":53,"fileFormat":56,"description":14,"dateModified":57,"datePublished":58,"encodingFormat":56,"isAccessibleForFree":59,"interactionStatistic":60},"DigitalDocument",{"name":9,"@type":52},"Person",{"url":37,"name":54,"@type":55},"DocShare","Organization","application/pdf","2026-06-05","2026-04-18",true,{"@type":61,"interactionType":62,"userInteractionCount":19},"InteractionCounter",{"@type":63},"ViewAction","https://schema.org",{"og:url":66,"og:type":67,"og:title":13,"og:site_name":54,"og:description":14},"https://docshare.wps.com/document/android-behavior-based-malware-detection-method-using-machine-learning/13566","article",{"robots":69,"canonical":66},"index,follow",{"doc_id":7,"site_id":29}]