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).
Deep

Indosat Partners with Cisco and Splunk to Deliver Real-Time Threat Detection and Response

Indosat Ooredoo Hutchison (Indosat or IOH), has officially launched its Security Command Center (SCC) in Jakarta, marking a significant leap forward for the country’s digital resilience as artificial ...
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 ...