Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms. (arXiv:2304.03691v1 [cs.CR])

The popularity of encryption mechanisms poses a great challenge to malicious
traffic detection. The reason is traditional detection techniques cannot work
without the decryption of encrypted traffic. Currently, research on encrypted
malicious traffic detection without decryption has focused on feature
extraction and the choice of machine learning or deep learning algorithms. In
this paper, we first provide an in-depth analysis of traffic features and
compare different state-of-the-art traffic feature creation approaches, while
proposing a novel concept for encrypted traffic feature …

algorithms analysis art challenge concept decryption deep learning detection encrypted encrypted traffic encryption features great machine machine learning machine learning algorithms malicious mining novel research state techniques traffic work