Application of deep learning in malware detection: a review
The defense of malware remains an important research hotspot in the field of cyberspace security. Recognizing its profound research significance, our defense against malware is still an important research hotspot in the field of cyberspace security ...
Yafei Song +5 more
doaj +1 more source
A Survey on Visualization-Based Malware Detection
Ahmad Moawad +2 more
openaire +1 more source
A deep learning-based IoT malware detection approach for electric vehicle charging stations. [PDF]
Xia L, Chen Y, Han L.
europepmc +1 more source
Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]
Abd-Ellah MK +3 more
europepmc +1 more source
Few-shot android malware classification with quantum-enhanced prototypical learning and drift detection. [PDF]
Tawfik M +5 more
europepmc +1 more source
A dataset of windows malware execution traces. [PDF]
Raducu R +3 more
europepmc +1 more source
Proceedings of the 1st Computer Science Student Workshop: Koc University Istinye Campus, Istanbul, Turkey, February 21, 2010 [PDF]
core
Enhancing security in IoMT using federated TinyGAN for lightweight and accurate malware detection. [PDF]
S D, Shankar MG, Daniel E, R BGV.
europepmc +1 more source
Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger. [PDF]
Maghanaki M +3 more
europepmc +1 more source
A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]
Abed Alsaedi S +6 more
europepmc +1 more source

