Evolving malware detection through instant dynamic graph inverse reinforcement learning
C Liu, B Li, X Liu, C Li, J Bao - Knowledge-Based Systems, 2024 - Elsevier
The rapid development and increasing evolution of malware necessitate novel defensive
techniques with high accuracy and minimal false positives to safeguard information systems …
techniques with high accuracy and minimal false positives to safeguard information systems …
iDetector: A Novel Real-Time Intrusion Detection Solution for IoT Networks
X Kong, Y Zhou, Y Xiao, X Ye, H Qi… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The rapid proliferation of IoT devices has brought about unprecedented convenience to
people's daily lives. However, this growth has also created opportunities for hackers to …
people's daily lives. However, this growth has also created opportunities for hackers to …
ContraMTD: An Unsupervised Malicious Network Traffic Detection Method based on Contrastive Learning
Malicious traffic detection has been a focal point in the field of network security, and deep
learning-based approaches are emerging as a new paradigm. However, most of them are …
learning-based approaches are emerging as a new paradigm. However, most of them are …