Filtering Malicious JavaScript Code with Doc2Vec on an Imbalanced Dataset

Drive-by download attacks are one of main threats on the Internet. Several detection methods are to build run-time environments that allow JavaScript code to run and track its behavior while it runs. Dynamic analysis requires too much time to examine all the web pages a client accesses. Hence, light...

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Bibliographic Details

Published in:	2019 14th Asia Joint Conference on Information Security (AsiaJCIS) pp. 24 - 31
Main Authors:	Mimura, Mamoru, Suga, Yuya
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2019
Subjects:	Class Imbalance Problem Context modeling DBSCAN Doc2vec Feature extraction JavaScript K-means Malware Natural language processing Neural networks Paragraph Vector Static analysis SVM Web pages Word Vector
Online Access:	Get full text
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