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Volumn 189 AISC, Issue , 2013, Pages 289-298

PUMA: Permission usage to detect malware in android

Author keywords

Android; machine learning; malware detection; mobile malware

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMMERCE; COMPUTER CRIME; LEARNING SYSTEMS; MOBILE DEVICES; PERSONAL COMPUTERS; SOFT COMPUTING;

EID: 84868087373     PISSN: 21945357     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-33018-6_30     Document Type: Conference Paper
Times cited : (220)

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    • Information Sciences
    • Santos, I.1    Brezo, F.2    Ugarte-Pedrero, X.3    Bringas, P.G.4
  • 6
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    • Learning and classification of malware behavior
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    • Rieck, K.1    Holz, T.2    Willems, C.3    Düssel, P.4    Laskov, P.5
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    • Applying behavioral detection on android-based devices
    • Cai, Y., Magedanz, T., Li, M., Xia, J., Giannelli, C. (eds.) Mobilware 2010. Springer, Heidelberg
    • Shabtai, A., Elovici, Y.: Applying Behavioral Detection on Android-Based Devices. In: Cai, Y., Magedanz, T., Li, M., Xia, J., Giannelli, C. (eds.) Mobilware 2010. LNICST, vol. 48, pp. 235-249. Springer, Heidelberg (2010)
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    • Kohavi, R.1
  • 15
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    • Comparative analysis of regression and machine learning methods for predicting fault proneness models
    • Singh, Y., Kaur, A., Malhotra, R.: Comparative analysis of regression and machine learning methods for predicting fault proneness models. International Journal of Computer Applications in Technology 35(2), 183-193 (2009)
    • (2009) International Journal of Computer Applications in Technology , vol.35 , Issue.2 , pp. 183-193
    • Singh, Y.1    Kaur, A.2    Malhotra, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.