Malware Classification using Deep Learning based Feature Extraction and Wrapper based Feature Selection Technique.
作者： Anwar Majid Mirza , Asifullah Khan , Muhammad Ali , Aqsa Saeed Qureshi , Muhammad Furqan Rafique
DOI:
关键词: Feature engineering 、 Feature extraction 、 Deep learning 、 Convolutional neural network 、 Pattern recognition 、 Feature selection 、 Artificial intelligence 、 Multilayer perceptron 、 Support vector machine 、 Discriminative model 、 Malware 、 Computer science 、 Feature vector 、 Categorization
摘要: … static and dynamic techniques have been reported so far for categorizing malware. This research presents a deep learning-based malware detection (DLMD) technique based on static …
harvard.edu
arxiv.org参考文章(29)
Silvio Cesare, Yang Xiang, Classification of malware using structured control flow AusPDC '10 Proceedings of the Eighth Australasian Symposium on Parallel and Distributed Computing - Volume 107. pp. 61- 70 ,(2010)
Timo Harmonen, Identifying polymorphic malware ,(2011)
Hyunjae Kang, Jae-wook Jang, Aziz Mohaisen, Huy Kang Kim, None, Detecting and classifying android malware using static analysis along with creator information International Journal of Distributed Sensor Networks. ,vol. 2015, pp. 479174- ,(2015) , 10.1155/2015/479174
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
Joris Kinable, Orestis Kostakis, Malware classification based on call graph clustering Journal of Computer Virology and Hacking Techniques. ,vol. 7, pp. 233- 245 ,(2011) , 10.1007/S11416-011-0151-Y
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
George E. Dahl, Jack W. Stokes, Li Deng, Dong Yu, Large-scale malware classification using random projections and neural networks international conference on acoustics, speech, and signal processing. pp. 3422- 3426 ,(2013) , 10.1109/ICASSP.2013.6638293
Blake Anderson, Daniel Quist, Joshua Neil, Curtis Storlie, Terran Lane, Graph-based malware detection using dynamic analysis Journal of Computer Virology and Hacking Techniques. ,vol. 7, pp. 247- 258 ,(2011) , 10.1007/S11416-011-0152-X
Manuel Egele, Theodoor Scholte, Engin Kirda, Christopher Kruegel, A survey on automated dynamic malware-analysis techniques and tools ACM Computing Surveys. ,vol. 44, pp. 6- ,(2008) , 10.1145/2089125.2089126
Qinghua Zhang, Douglas S. Reeves, MetaAware: Identifying Metamorphic Malware annual computer security applications conference. pp. 411- 420 ,(2007) , 10.1109/ACSAC.2007.9