The article introduces a novel structural causal model and algorithm designed for the rapid detection of anomalies’ root causes in threshold-based IT systems. The presented approach leverages causal discovery from…
Continue readingThe study explores the use of anomaly detection (AD) methods in imbalanced learning tasks, specifically for fraud detection in online credit card payments. The performance of various AD methods is…
Continue readingThe research article presents a new framework for unsupervised video anomaly detection (VAD) called Coarse-to-Fine Pseudo-Labeling (C2FPL). Traditional VAD methods rely heavily on manually annotated anomaly examples, which is a…
Continue readingThe paper ‘Anomaly Heterogeneity Learning for Open-Set Supervised Anomaly Detection’ proposes a novel approach to anomaly detection, named Anomaly Heterogeneity Learning (AHL). The authors identify a problem with current Open-Set…
Continue readingThe paper presents an autoencoder model designed to detect malicious DNS-over-HTTPS (DoH) traffic. With the increasing adoption of DoH protocol by major browsers to encrypt DNS traffic and protect user…
Continue readingThe paper presents a framework for evaluating image-based anomaly detectors using synthetically generated validation data. This method, which does not require additional training or fine-tuning, uses a small support set…
Continue readingThis study presents HuntGPT, a tool that integrates machine learning-based anomaly detection and Explainable AI (XAI) with Large Language Models (LLMs) for efficient threat hunting. Despite the effectiveness of machine…
Continue readingThe article presents a cluster-based technique to detect and locate eavesdropping events in optical line systems. This method uses optical performance monitoring (OPM) data collected at the receiver to detect…
Continue readingThe “3D-IDS: Doubly Disentangled Dynamic Intrusion Detection” study developed by a team from the Beijing University of Posts and Telecommunications presents a novel method that aims to enhance network intrusion…
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