Bibliographic Details
| 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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