Ensemble Learning for Low-Level Hardware-Supported Malware Detection

作者: Khaled N. Khasawneh , Meltem Ozsoy , Caleb Donovick , Nael Abu-Ghazaleh , Dmitry Ponomarev

DOI: 10.1007/978-3-319-26362-5_1

关键词:

摘要: Recent work demonstrated hardware-based online malware detection using only low-level features. This detector is envisioned as a first line of defense that prioritizes the application …

参考文章(38)
David H. Wolpert, Original Contribution: Stacked generalization Neural Networks. ,vol. 5, pp. 241- 259 ,(1992) , 10.1016/S0893-6080(05)80023-1
Igor Santos, Felix Brezo, Javier Nieves, Yoseba K. Penya, Borja Sanz, Carlos Laorden, Pablo G. Bringas, Idea: Opcode-Sequence-Based Malware Detection Lecture Notes in Computer Science. pp. 35- 43 ,(2010) , 10.1007/978-3-642-11747-3_3
Pratiksha Natani, Deepti Vidyarthi, Malware Detection Using API Function Frequency with Ensemble Based Classifier international symposium on security in computing and communication. pp. 378- 388 ,(2013) , 10.1007/978-3-642-40576-1_37
Shu-Chang Din, Bai-Jian Gao, Yi-Bin Lu, Chao-Fu Zheng, Using Multi-Feature and Classifier Ensembles to Improve Malware Detection ,(2010)
Thomas G. Dietterich, Machine-Learning Research Ai Magazine. ,vol. 18, pp. 97- 136 ,(1997) , 10.1609/AIMAG.V18I4.1324
Boyun Zhang, Jianping Yin, Jingbo Hao, Dingxing Zhang, Shulin Wang, Malicious codes detection based on ensemble learning autonomic and trusted computing. pp. 468- 477 ,(2007) , 10.1007/978-3-540-73547-2_48
Thomas G. Dietterich, Ensemble Methods in Machine Learning Multiple Classifier Systems. pp. 1- 15 ,(2000) , 10.1007/3-540-45014-9_1
Mark A. Hall, Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques ,(1999)
Mingwei Zhang, R. Sekar, Control flow integrity for COTS binaries usenix security symposium. pp. 337- 352 ,(2013)
Gianluigi Folino, Clara Pizzuti, Giandomenico Spezzano, GP Ensemble for Distributed Intrusion Detection Systems Pattern Recognition and Data Mining. pp. 54- 62 ,(2005) , 10.1007/11551188_6