Detecting Malicious Behaviors in JavaScript Applications

10.1109/ACCESS.2018.2795383

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Bibliographic Details
Main Authors:	Mao, J., Bian, J., Bai, G., Wang, R., Chen, Y., Xiao, Y., Liang, Z.
Other Authors:	DEPARTMENT OF COMPUTER SCIENCE
Format:	Article
Published:	Institute of Electrical and Electronics Engineers Inc. 2021
Subjects:	behavior anomaly detection hybrid mobile app JavaScript application
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/210118
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Institution:	National University of Singapore

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