Deep Learning for Classification of Malware System Call Sequences

@inproceedings{Kolosnjaji2016DeepLF,
  title={Deep Learning for Classification of Malware System Call Sequences},
  author={Bojan Kolosnjaji and Apostolis Zarras and George D. Webster and Claudia Eckert},
  booktitle={Australasian Conference on Artificial Intelligence},
  year={2016}
}
The increase in number and variety of malware samples amplifies the need for improvement in automatic detection and classification of the malware variants. Machine learning is a natural choice to cope with this increase, because it addresses the need of discovering underlying patterns in large-scale datasets. Nowadays, neural network methodology has been grown to the state that can surpass limitations of previous machine learning methods, such as Hidden Markov Models and Support Vector Machines… CONTINUE READING
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