A survey of recent advances in deep learning models for detecting malware in desktop and mobile platforms
Malware is one of the most common and severe cyber threats today. Malware infects
millions of devices and can perform several malicious activities including compromising …
millions of devices and can perform several malicious activities including compromising …
A Comprehensive Review of Machine Learning Approaches for Detecting Malicious Software.
L Yuanming, R Latih - International Journal on Advanced …, 2024 - search.ebscohost.com
With the continuous development of technology, the types of malware and their variants
continue to increase, which has become an enormous challenge to network security. These …
continue to increase, which has become an enormous challenge to network security. These …
DeepCatra: Learning flow‐and graph‐based behaviours for Android malware detection
As Android malware grows and evolves, deep learning has been introduced into malware
detection, resulting in great effectiveness. Recent work is considering hybrid models and …
detection, resulting in great effectiveness. Recent work is considering hybrid models and …
GHGDroid: Global heterogeneous graph-based android malware detection
L Shen, M Fang, J Xu - Computers & Security, 2024 - Elsevier
As the most popular mobile platform, Android has become the major attack target of
malware, and thus there is an urgent need to effectively thwart them. Recently, the graph …
malware, and thus there is an urgent need to effectively thwart them. Recently, the graph …
[HTML][HTML] Enhancing android malware detection explainability through function call graph APIs
Nowadays, mobile devices are massively used in everyday activities. Thus, they contain
sensitive data targeted by threat actors like bank accounts and personal information …
sensitive data targeted by threat actors like bank accounts and personal information …
EAODroid: Android malware detection based on enhanced API order
L Huang, J Xue, Y Wang, D Qu, J Chen… - Chinese Journal of …, 2023 - ieeexplore.ieee.org
The development of smart mobile devices brings convenience to people's lives, but also
provides a breeding ground for Android malware. The sharp increasing malware poses a …
provides a breeding ground for Android malware. The sharp increasing malware poses a …
A Review of Deep Learning Based Malware Detection Techniques
H Wang, B Cui, Q Yuan, R Shi, M Huang - Neurocomputing, 2024 - Elsevier
With the popularization of computer technology, the number of malware has increased
dramatically in recent years. Some malware can threaten the network security of users by …
dramatically in recent years. Some malware can threaten the network security of users by …
Leveraging application permissions and network traffic attributes for Android ransomware detection
The increase in ransomware threats targeting Android devices necessitates the
development of advanced techniques to strengthen the effectiveness of detection and …
development of advanced techniques to strengthen the effectiveness of detection and …
Use of Graph Neural Networks in Aiding Defensive Cyber Operations
In an increasingly interconnected world, where information is the lifeblood of modern
society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of digital …
society, regular cyber-attacks sabotage the confidentiality, integrity, and availability of digital …
A brief survey of deep learning methods for android Malware detection
As the number of malware attacks continues to grow year by year with increasing
complexity, Android devices have remained vulnerable with over 30 million mobile attacks …
complexity, Android devices have remained vulnerable with over 30 million mobile attacks …