IEEE

Enhanced Predictive Modeling for Anomaly Detection in Financial Transactions Using Machine Learning

Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
Analytics Insight

How to Detect AI-Generated Music?

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...
NetEye Blog

Root cause analysis with Elastic ML and Alyvix

The Elastic Stack integrated with NetEye offers Machine Learning (ML) jobs that assist in analyzing observability data. These ...
Security Boulevard

AI-Driven Anomaly Detection for MCP Security.

Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
IEEE

Anomaly Detection in IoT Networks: A Deep Learning Approach Using Autoencoders

Abstract: The current fast proliferation of the Internet of Things (IoT) networks has made anomaly detection and security more difficult. Traditional methods are not able to detect hostile activities ...
Oneindia

Managing Combinatorial Explosion In High Dimensional Time Series Anomaly Detection

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...