May 26, 2024 · APTs are highly sophisticated and stealthy attacks that target enterprise networks with the goal of exfiltrating valuable data or disrupting operations.

May 18, 2024 · After generating negative samples, we pre-train the encoder for the CMA detector using contrastive learning upon the continuous-time dynamic heterogeneous graph ...

May 25, 2024 · In this work we investigate the use of Bayesian Autoencoder (BAE) models for uncertainty quantification in anomaly detection. A novel heteroscedastic aleatoric ...

May 17, 2024 · However, entirely preventing bias in general-purpose AI systems is challenging because it requires systematic training data collection, ongoing evaluation, and ...

May 24, 2024 · Stephanie Simone is the Editor-in-Chief at Database Trends and Applications, a division of Information Today, Inc. She can be reached atssimone@dbta.com.

May 29, 2024 · AI network monitoring, threat detection, pen testing, automated remediation, and predictive analytics are just some of the use cases for AI in cybersecurity.

May 12, 2024 · This paper reviews the developments in the last decade in the use of machine learning models (MLMs) to foster the creation of intelligent solutions targeted at ...

May 14, 2024 · from nation states and well-known advanced persistent threat groups (adversaries with sophisticated levels of expertise and significant resources, allowing ...

May 21, 2024 · ... advanced persistent threat. Liu et al. [70], 2019 ... In addition, intrusion detection using ... We can get learning outcomes and models from the vast IoT data ...