A survey of android malware detection with deep neural models
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 …
security research. Deep learning models have many advantages over traditional Machine …
A review of android malware detection approaches based on machine learning
K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …
malware is also emerging in an endless stream. Many researchers have studied the …
Deep learning in mobile and wireless networking: A survey
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …
services pose unprecedented demands on mobile and wireless networking infrastructure …
A survey on malware detection using data mining techniques
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …
serious and evolving security threats to Internet users. To protect legitimate users from these …
The role of artificial intelligence and machine learning in wireless networks security: Principle, practice and challenges
Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence …
Droidcat: Effective android malware detection and categorization via app-level profiling
Most existing Android malware detection and categorization techniques are static
approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program …
approaches, which suffer from evasion attacks, such as obfuscation. By analyzing program …
The Circle of life: A {large-scale} study of the {IoT} malware lifecycle
Our current defenses against IoT malware may not be adequate to remediate an IoT
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …
malware attack similar to the Mirai botnet. This work seeks to investigate this matter by …
Malicious code detection based on CNNs and multi-objective algorithm
Z Cui, L Du, P Wang, X Cai, W Zhang - Journal of Parallel and Distributed …, 2019 - Elsevier
An increasing amount of malicious code causes harm on the internet by threatening user
privacy as one of the primary sources of network security vulnerabilities. The detection of …
privacy as one of the primary sources of network security vulnerabilities. The detection of …
The rise of ransomware: Forensic analysis for windows based ransomware attacks
While information technologies grow and propagate worldwide, malwares have modified
and risen their efficiency towards information system. Recently, the attackers have started to …
and risen their efficiency towards information system. Recently, the attackers have started to …
Automated testing of android apps: A systematic literature review
Automated testing of Android apps is essential for app users, app developers, and market
maintainer communities alike. Given the widespread adoption of Android and the …
maintainer communities alike. Given the widespread adoption of Android and the …