IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
IEEE

FocusPatch AD: Few-Shot Multi-Class Anomaly Detection With Unified Keywords Patch Prompts

Abstract: Industrial few-shot anomaly detection (FSAD) requires identifying various abnormal states by leveraging as few normal samples as possible (abnormal samples are unavailable during training).
GitHub

GitHub - Oracleo/SOC-Project1-Brute-Force-Detection-Splunk: Mini SOC Lab demonstrating real-time brute-force attack detection using Splunk SIEM, Windows Event Logs, and ...

A detection query was developed using Splunk's Search Processing Language to identify potential brute-force attacks. The query searches for Event ID 4625, aggregates failed login attempts by account ...
The New York Times

Grail’s Cancer Detection Test Fails in Major Study

A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...