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Packet2Vec: Utilizing Word2Vec for Feature Extraction in Packet Data
[article]
2020
arXiv
pre-print
One of deep learning's attractive benefits is the ability to automatically extract relevant features for a target problem from largely raw data, instead of utilizing human engineered and error prone handcrafted features. While deep learning has shown success in fields such as image classification and natural language processing, its application for feature extraction on raw network packet data for intrusion detection is largely unexplored. In this paper we modify a Word2Vec approach, used for
arXiv:2004.14477v1
fatcat:oicnmal6mjaslcs4q3eiajdj6m