The Internet has become an indispensable part of people’s work and life. It provides favorable communication conditions for malwares. Therefore, malwares are endless and spread faster and become one of the main threats of current network security. Based on the malware analysis process, from the original feature extraction and feature selection to malware detection, this paper introduces the machine learning algorithm such as clustering, classification and association analysis, and how to use the machine learning algorithm to malware and its variants for effective analysis.
CITATION STYLE
Dong, Y., Liu, Z., Yan, Y., Wang, Y., Peng, T., & Zhang, J. (2017). Machine learning for analyzing malware. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10394 LNCS, pp. 386–398). Springer Verlag. https://doi.org/10.1007/978-3-319-64701-2_28
Mendeley helps you to discover research relevant for your work.