A survey of android malware detection with deep neural models

J Qiu, J Zhang, W Luo, L Pan, S Nepal… - ACM Computing Surveys …, 2020 - dl.acm.org
Deep Learning (DL) is a disruptive technology that has changed the landscape of cyber
security research. Deep learning models have many advantages over traditional Machine …

Detection approaches for android malware: Taxonomy and review analysis

HHR Manzil, SM Naik - Expert Systems with Applications, 2024 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …

Opcode sequence analysis of Android malware by a convolutional neural network

D Li, L Zhao, Q Cheng, N Lu… - … and Computation: Practice …, 2020 - Wiley Online Library
The number of malware has exploded due to the openness of the Android platform, and the
endless stream of malware poses a threat to the privacy, tariffs, and device of mobile phone …