Xiao, G., Li, J., Chen, Y., & Li, K. (2020). MalFCS: An effective malware classification framework with automated feature extraction based on deep convolutional neural networks. Journal of parallel and distributed computing, 141, 49-58. https://doi.org/10.1016/j.jpdc.2020.03.012
Chicago Style (17th ed.) CitationXiao, Guoqing, Jingning Li, Yuedan Chen, and Kenli Li. "MalFCS: An Effective Malware Classification Framework with Automated Feature Extraction Based on Deep Convolutional Neural Networks." Journal of Parallel and Distributed Computing 141 (2020): 49-58. https://doi.org/10.1016/j.jpdc.2020.03.012.
MLA (9th ed.) CitationXiao, Guoqing, et al. "MalFCS: An Effective Malware Classification Framework with Automated Feature Extraction Based on Deep Convolutional Neural Networks." Journal of Parallel and Distributed Computing, vol. 141, 2020, pp. 49-58, https://doi.org/10.1016/j.jpdc.2020.03.012.