Network intrusion detection using word embeddings

Word embeddings, learning syntactic and semantic relationships between words from the raw text, are known to achieve superior performance in many prediction and classification tasks. In this paper, we aim to show how word embedding techniques can work on a high number of nontextual data, thus has new applicability in cyber security. Specifically, we build neural embeddings with a large amount of n…