Detecting Android Malicious Applications using Dynamic Malware Analysis and Machine Learning-Reference-Cited by-同舟云学术

Detecting Android Malicious Applications using Dynamic Malware Analysis and Machine Learning

Published:2022-08-04 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing
language:
Short-container-title:

Author:

Dhalaria Meghna¹,Gandotra Ekta²

Affiliation:

1. Chitkara University, India

2. Jaypee University of Information Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3549206.3549271

Reference35 articles.

1. Mobile Development. Retrieved August 8 2021 from https://www.mindinventory.com/blog/android-app-development-trends/ Mobile Development. Retrieved August 8 2021 from https://www.mindinventory.com/blog/android-app-development-trends/

2. Meghna Dhalaria , Ekta Gandotra , and Suman Saha . 2019 . Comparative Analysis of Ensemble Methods for Classification of Android Malicious Applications. In International Conference on Advances in Computing and Data Sciences, Springer, 370-380 . https://doi.org/10.1007/978-981-13-9939-8_33. 10.1007/978-981-13-9939-8_33 Meghna Dhalaria, Ekta Gandotra, and Suman Saha. 2019. Comparative Analysis of Ensemble Methods for Classification of Android Malicious Applications. In International Conference on Advances in Computing and Data Sciences, Springer, 370-380. https://doi.org/10.1007/978-981-13-9939-8_33.

3. A Framework for Detection of Android Malware using Static Features

4. Android Malware Detection using Chi-Square Feature Selection and Ensemble Learning Method

5. Kimberly Tam , Ali Feizollah , Nor Badrul Anuar , Rosli Salleh, and Lorenzo Cavallaro. 2017 . The evolution of android malware and android analysis techniques. ACM Computing Surveys (CSUR) , 49, 4 (December 2017), 1-41. https://doi.org/10.1145/3017427. 10.1145/3017427 Kimberly Tam, Ali Feizollah, Nor Badrul Anuar, Rosli Salleh, and Lorenzo Cavallaro. 2017. The evolution of android malware and android analysis techniques. ACM Computing Surveys (CSUR), 49, 4 (December 2017), 1-41. https://doi.org/10.1145/3017427.