Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Hemant Rathore; Sanjay K. Sahay; Piyush Nikam; Mohit Sewak

doi:10.1007/s10796-020-10083-8

ScienceGate Book Chapters

JOURNAL ARTICLE

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Hemant Rathore Sanjay K. Sahay Piyush Nikam Mohit Sewak

Year: 2020 Journal: Information Systems Frontiers Vol: 23 (4)Pages: 867-882 Publisher: Springer Science+Business Media

DOI: 10.1007/s10796-020-10083-8

Get Full-Text PDF Get Analytical Report

Keywords:

Android malware Malware Computer science Adversarial system Android (operating system) Computer security Adversarial machine learning Artificial intelligence Robustness (evolution) Machine learning Operating system

Metrics

Cited By

7.09

FWCI (Field Weighted Citation Impact)

Refs

0.98

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Software Testing and Debugging Techniques

Physical Sciences → Computer Science → Software

Robust Android Malware Detection System Against Adversarial Attacks Using Q-Learning

Metrics

Citation History

Topics

Related Documents

Robust Android Malware Detection Against Adversarial Attacks

Robust Android Malware Detection against Adversarial Example Attacks

Android Malware Detection Against Adversarial Attacks Using Machine Learning

Robust Malware Detection System Against Adversarial Attacks

A Robust Malware Detection Approach for Android System Against Adversarial Example Attacks