Detecting Malicious Behaviors in JavaScript Applications
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| Title: | Detecting Malicious Behaviors in JavaScript Applications |
|---|---|
| Authors: | Mao, J., Bian, J., Bai, G., Wang, R., Chen, Y., Xiao, Y., Liang, Z. |
| Contributors: | DEPARTMENT OF COMPUTER SCIENCE |
| Source: | Scopus OA2018 |
| Publisher Information: | Institute of Electrical and Electronics Engineers Inc. |
| Publication Year: | 2018 |
| Collection: | National University of Singapore: ScholarBank@NUS |
| Subject Terms: | behavior anomaly detection, hybrid mobile app, JavaScript application |
| Description: | 10.1109/ACCESS.2018.2795383 ; IEEE Access ; 6 ; 12284-12294 |
| Document Type: | article in journal/newspaper |
| Language: | unknown |
| Relation: | https://scholarbank.nus.edu.sg/handle/10635/210118 |
| Availability: | https://scholarbank.nus.edu.sg/handle/10635/210118 |
| Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International ; https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Accession Number: | edsbas.E3B17FD5 |
| Database: | BASE |
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