Machine learning-based malware detection on Android devices using behavioral features

Author:

Urmila T.S.

Publisher

Elsevier BV

Subject

General Medicine

Reference13 articles.

1. MADAM: Effective and Efficient Behavior-based Android Malware Detection and Prevention;Saracino;IEEE Trans. Dependable Secure Comput.,2016

2. Design Alternatives for Performance Monitoring Counter based Malware Detection;Pattee,2020

3. Behavioral Entropy towards Detection of Metamorphic Malware;Vahedi,2019

4. Behavioral Malware Classification using Convolutional Recurrent Neural Networks;Alsulami,2018

5. Recurrent Neural Networks Based Online Behavioural Malware Detection Techniques for Cloud Infrastructure;Kimmel;IEEE Access,2021

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1. Android malware detection and identification frameworks by leveraging the machine and deep learning techniques: A comprehensive review;Telematics and Informatics Reports;2024-06

2. Malware Analysis With Machine Learning;Malware Analysis and Intrusion Detection in Cyber-Physical Systems;2023-09-26

3. MalwD&C: A Quick and Accurate Machine Learning-Based Approach for Malware Detection and Categorization;Applied Sciences;2023-02-15

4. Systematic Mapping of Machine Learning–Based Malware Detection Studies;2022 International Conference on Electrical, Computer and Energy Technologies (ICECET);2022-07-20

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