M2VMapper: Malware-to-Vulnerability mapping for Android using text processing-Reference-Cited by-同舟云学术

M2VMapper: Malware-to-Vulnerability mapping for Android using text processing

Published:2022-04 Issue: Volume:191 Page:116360
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Garg Shivi,Baliyan Niyati

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference29 articles.

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3. Booz, J., McGiff, J., Hatcher, W. G., Yu, W., Nguyen, J. H., & Lu, C. (2018). Tuning deep learning performance for Android malware detection. In Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking (pp. 140-145). IEEE.

4. Chebyshev, V., Sinitsyn, F., Parinov, D., Kupreev, O., Lopatin, E., & Kulaev, A. (2020). IT threat evolution Q1 2020. Statistics. Retrieved July 04, 2020, from https://securelist.com/it-threat-evolution-q1-2020-statistics/96959/.

5. A novel parallel classifier scheme for vulnerability detection in android;Garg;Computers & Electrical Engineering,2019

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