<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Hybrid Analysis of Android Apps for Security Vetting using Deep Learning</dc:title><dc:creator>Chaulagain, Dewan; Poudel, Prabesh; Pathak, Prabesh; Roy, Sankardas; Caragea, Doina; Liu, Guojun; Ou, Xinming</dc:creator><dc:corporate_author/><dc:editor>null</dc:editor><dc:description/><dc:publisher/><dc:date>2020-06-01</dc:date><dc:nsf_par_id>10296694</dc:nsf_par_id><dc:journal_name>2020 IEEE Conference on Communications and Network Security (CNS)</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>1 to 9</dc:page_range_or_elocation><dc:issn/><dc:isbn/><dc:doi>https://doi.org/10.1109/CNS48642.2020.9162341</dc:doi><dcq:identifierAwardId>1717871; 1718214</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>