Deep Learning Applications in Cybersecurity: Enhancing Intrusion Detection and Malware Analysis
Jing Zhang, Xiaoyan Hou
openalex +1 more source
A dataset of windows malware execution traces. [PDF]
Raducu R +3 more
europepmc +1 more source
Latent topic-driven cyber intelligence model for tactics, techniques, and procedures (TTPs) detection using hybrid framework and Birch-inspired optimisation. [PDF]
Alanazi MM, Wahab AWA, Idris MYI.
europepmc +1 more source
FL-MalDrift: a federated learning framework for malware detection under local concept drift. [PDF]
Patel A +3 more
europepmc +1 more source
A multi-label visualisation approach for malware behaviour analysis. [PDF]
Uysal DT +4 more
europepmc +1 more source
Graph-augmented multi-modal learning framework for robust android malware detection. [PDF]
Tanveer MU +5 more
europepmc +1 more source
AI-Driven Cybersecurity in IoT: Adaptive Malware Detection and Lightweight Encryption via TRIM-SEC Framework. [PDF]
Mutambik I.
europepmc +1 more source
Detection of unseen malware threats using generative adversarial networks and deep learning models. [PDF]
Joshi C, Kumar J, Kumawat G.
europepmc +1 more source

