Deep Android Malware Detection

作者: Niall McLaughlin , Jesus Martinez del Rincon , BooJoong Kang , Suleiman Yerima , Paul Miller

DOI: 10.1145/3029806.3029823

关键词:

摘要: … android malware detection system that uses a deep convolutional neural network (CNN). Malware … Features indicative of malware are automatically learned by the network from the raw …

参考文章(25)
Akanksha Sharma, Subrat Kumar Dash, Mining API Calls and Permissions for Android Malware Detection cryptology and network security. pp. 191- 205 ,(2014) , 10.1007/978-3-319-12280-9_13
Borja Sanz, Igor Santos, Carlos Laorden, Xabier Ugarte-Pedrero, Pablo Garcia Bringas, Gonzalo Álvarez, PUMA: Permission Usage to Detect Malware in Android CISIS/ICEUTE/SOCO Special Sessions. pp. 289- 298 ,(2013) , 10.1007/978-3-642-33018-6_30
Suleiman Y. Yerima, Sakir Sezer, Igor Muttik, Android malware detection: An eigenspace analysis approach science and information conference. pp. 1236- 1242 ,(2015) , 10.1109/SAI.2015.7237302
Razvan Pascanu, Jack W. Stokes, Hermineh Sanossian, Mady Marinescu, Anil Thomas, Malware classification with recurrent networks international conference on acoustics, speech, and signal processing. pp. 1916- 1920 ,(2015) , 10.1109/ICASSP.2015.7178304
Christopher M. Bishop, Neural networks for pattern recognition ,(1995)
Omid E. David, Nathan S. Netanyahu, DeepSign: Deep learning for automatic malware signature generation and classification international joint conference on neural network. pp. 1- 8 ,(2015) , 10.1109/IJCNN.2015.7280815
Karen Simonyan, Andrew Zisserman, Very Deep Convolutional Networks for Large-Scale Image Recognition computer vision and pattern recognition. ,(2014)
Yoon Kim, Convolutional Neural Networks for Sentence Classification empirical methods in natural language processing. pp. 1746- 1751 ,(2014) , 10.3115/V1/D14-1181
Joshua Saxe, Konstantin Berlin, Deep neural network based malware detection using two dimensional binary program features international conference on malicious and unwanted software. pp. 11- 20 ,(2015) , 10.1109/MALWARE.2015.7413680
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Chanan Glezer, Yael Weiss, Andromaly: a behavioral malware detection framework for android devices intelligent information systems. ,vol. 38, pp. 161- 190 ,(2012) , 10.1007/S10844-010-0148-X