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 …
Malicious application detection in android—a systematic literature review
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …
gadgets became an essential necessity of day-to-day life. People are using new …
Deep learning for image-based mobile malware detection
Current anti-malware technologies in last years demonstrated their evident weaknesses due
to the signature-based approach adoption. Many alternative solutions were provided by the …
to the signature-based approach adoption. Many alternative solutions were provided by the …
Does every second count? time-based evolution of malware behavior in sandboxes
The amount of time in which a sample is executed is one of the key parameters of a malware
analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …
analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …
[HTML][HTML] Machine learning for android malware detection: mission accomplished? a comprehensive review of open challenges and future perspectives
A Guerra-Manzanares - Computers & Security, 2024 - Elsevier
The extensive research in machine learning based Android malware detection showcases
high-performance metrics through a wide range of proposed solutions. Consequently, this …
high-performance metrics through a wide range of proposed solutions. Consequently, this …
Visualizing the outcome of dynamic analysis of Android malware with VizMal
Malware detection techniques based on signature extraction require security analysts to
manually inspect samples to find evidences of malicious behavior. This time-consuming task …
manually inspect samples to find evidences of malicious behavior. This time-consuming task …
Towards explainable quantum machine learning for mobile malware detection and classification
Through the years, the market for mobile devices has been rapidly increasing, and as a
result of this trend, mobile malware has become sophisticated. Researchers are focused on …
result of this trend, mobile malware has become sophisticated. Researchers are focused on …
A deep learning system for health care IoT and smartphone malware detection
The use of smart and connected devices, such as Android and Internet of Things (IoT) have
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …
increased exponentially. In the last 10 years, mobiles and IoT devices have surpassed PC's …
[PDF][PDF] Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis.
The huge diffusion of malware in mobile platform is plaguing users. New malware
proliferates at a very fast pace: as a matter of fact, to evade the signature-based mechanism …
proliferates at a very fast pace: as a matter of fact, to evade the signature-based mechanism …
Authorship Attribution Methods, Challenges, and Future Research Directions: A Comprehensive Survey
Over the past few decades, researchers have put their effort and paid significant attention to
the authorship attribution field, as it plays an important role in software forensics analysis …
the authorship attribution field, as it plays an important role in software forensics analysis …