Advanced behavioral malware detection: a comprehensive MLOps framework with federated learning and real-time drift detection. [PDF]
El-Hajj M, Zeineddine MAJ.
europepmc +1 more source
Cyber Offending Among Young People: an Analysis of the Correlates for Different Categories of Cyber-Dependent Offending Using the Triple Risk Delinquency Framework. [PDF]
Weulen Kranenbarg M, Gonzalez-Garcia A.
europepmc +1 more source
Dynamic Malware analysis is an extremely integral component of Malware Analysis. Dynamic analysis helps to provide an effective approach to analysing malware by executing it in an isolated environment. However, malware authors are constantly trying
Lye, Matthias Jun Hao
core
Design of an integrated evidence-driven few-shot meta-learning for zero-day malware detection and forensic attributions. [PDF]
Beg R +6 more
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
Federated ConvNeXt-swin temporal fusion network for malware and botnet detection in IoT systems. [PDF]
Alsubaei FS, Almazroi AA, Ayub N.
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 +6 more
europepmc +1 more source
YATSIDroid: an android malware detection framework based on artificial immune system. [PDF]
Mahindru A +6 more
europepmc +1 more source
A multidimensional cybercrime annotation dataset for a closed-access Russian-English underground hacking forum. [PDF]
Mischinger M +2 more
europepmc +1 more source

