HIGHLIGHTS
- who: Paul K. Mvula from the (UNIVERSITY) have published the article: Evaluating Word Embedding Feature Extraction Techniques for Host-Based Intrusion Detection Systems, in the Journal: (JOURNAL)
- what: The experiments show that Word2Vec is prone to introducing more duplicated samples than GloVe. The authors introduce the common feature extraction and dimensionality reduction techniques used for standardizing system call traces then evaluate approaches based on Natural Language Processing (NLP). The authors focus on sequence model-based extractors because they produce embeddings with implicit relationships that are effective for training on data that can benefit from contextual . . .
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