A comprehensive survey on deep learning based malware detection techniques
M Gopinath, SC Sethuraman - Computer Science Review, 2023 - Elsevier
Recent theoretical and practical studies have revealed that malware is one of the most
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
harmful threats to the digital world. Malware mitigation techniques have evolved over the …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
An effective end-to-end android malware detection method
H Zhu, H Wei, L Wang, Z Xu, VS Sheng - Expert Systems with Applications, 2023 - Elsevier
Android has rapidly become the most popular mobile operating system because of its open
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …
An enhanced deep learning neural network for the detection and identification of android malware
Android-based mobile devices have attracted a large number of users because they are
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …
easy to use and possess a wide range of capabilities. Because of its popularity, Android has …
[Retracted] A Comprehensive Review of Android Security: Threats, Vulnerabilities, Malware Detection, and Analysis
S Acharya, U Rawat… - Security and …, 2022 - Wiley Online Library
The popularity and open‐source nature of Android devices have resulted in a dramatic
growth of Android malware. Malware developers are also able to evade the detection …
growth of Android malware. Malware developers are also able to evade the detection …
[HTML][HTML] Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
Mobile devices have become an essential element in our day-to-day lives. The chances of
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
mobile attacks are rapidly increasing with the growing use of mobile devices. Exploiting …
Android malware detection methods based on convolutional neural network: A survey
Android malware detection (AMD) is a challenging task requiring many factors to be
considered during detection, such as feature extraction and processing, performance …
considered during detection, such as feature extraction and processing, performance …
A deep learning based android malware detection system with static analysis
In recent years, smart mobile devices have become indispensable due to the availability of
office applications, the Internet, game applications, vehicle guidance or similar most of our …
office applications, the Internet, game applications, vehicle guidance or similar most of our …
GenDroid: A query-efficient black-box android adversarial attack framework
The security problems of Android applications have been gradually exposed with the
increasing popularity of the Android OS. Machine learning (ML) and deep learning (DL) …
increasing popularity of the Android OS. Machine learning (ML) and deep learning (DL) …
[HTML][HTML] A review of deep learning models to detect malware in Android applications
Android applications are indispensable resources that facilitate communication, health
monitoring, planning, data sharing and synchronization, social interaction, business and …
monitoring, planning, data sharing and synchronization, social interaction, business and …