Defense against adversarial malware using robust classifier: DAM-ROC-Reference-Cited by-同舟云学术

Defense against adversarial malware using robust classifier: DAM-ROC

Published:2022-10-18 Issue:4 Volume:47 Page:
ISSN:0973-7677
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Selvaganapathy Shymala Gowri^ORCID,Sadasivam Sudha

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s12046-022-01980-6.pdf

Reference98 articles.

1. Sharma T and Rattan D 2021 Malicious application detection in Android - A systematic literature review. Computer Science Review. 40: 100373

2. Syrris V and Geneiatakis D 2021 On machine learning effectiveness for malware detection in Android OS using static analysis data. Journal of Information Security and Applications 59: 102794

3. Liu K, Xu S, Xu G, Zhang M, Sun D and Liu H 2020 A Review of Android Malware Detection Approaches Based on Machine Learning. IEEE Access 8: 124579–124607

4. Zhiqiang Wang, Qian Liu and Yaping Chi. 2020 Review of Android malware detection based on deep learning IEEE Access 8: 181102–181126

5. Mcafee 2019 Evolution of malware sandbox evasion tactics a retrospective study. https://www.mcafee.com/blogs/other-blogs/mcafee-labs/evolution-of-malware-sandbox-evasion-tactics-a-retrospective-study/

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A systematic literature review on Windows malware detection: Techniques, research issues, and future directions;Journal of Systems and Software;2024-03

2. Secured machine learning using Approximate homomorphic scheme for healthcare;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09