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Company RIM / Google / Intelligent Information Systems / Camtepe S. A. / Microsoft / Apple / VirusTotal5 / / / Facility Apple’s App Store / University of Deusto / Google’s Play Store / Arcade Books Business Cards Games Casuals Comics Communication Sports Enterprise Entertainment Finance Health Libraries / store Google Play / / IndustryTerm low computing overhead / final benign software dataset / malicious software detection approach / communications security / machine-learning algorithms / cross product / inner product / it in their devices / legitimate applications / accuracy classifying applications / Internet connection / android devices / benign software collections / malicious software / low processing capabilities / online store / malicious applications / anomaly detection systems / suspicious software detection / ios applications / benign and malicious software / Wireless Middleware / anomalous malicious applications / benign software applications / android applications / benign applications / valid applications / / MusicAlbum News / / OperatingSystem Android / Pios / / Organization Basque Government / idf / Computational Intelligence / University of Deusto / / Person Borja Sanz / Igor Santos / Fisher Score / Android Abstract / Carlos Laorden / Pablo G. Bringas / Javier Nieves / / Position General / representative / / Product Manhattan / / ProgrammingLanguage FP / HTML / XML / JavaScript / / Technology XML / machine-learning algorithms / SMS / API / smartphone / GPS / mobile phones / machine learning / Android / html / Operating Systems / Wi-Fi / mobile devices / Smartphones / Bluetooth / / URL http / SocialTag 
Instance-based Anomaly Method for Android Malware Detection Borja Sanz, Igor Santos, Xabier Ugarte-Pedrero,Carlos Laorden, Javier Nieves and Pablo G. Bringas S3Lab, University of Deusto, Avenida de las Universidades 24,