IEEE

Heterogeneous Data Fusion and Anomaly Detection in Industrial IoT Systems Using Spatio-Temporal Graph Neural Networks

Abstract: This paper proposes a novel framework for heterogeneous data fusion and anomaly detection in Internet of Things (IoT) systems using spatio-temporal graph neural networks (GNNs). The ...
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 ...

From Batch Processing to Real-Time Alerts: Rebuilding SNAP Fraud Detection

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Biometric Authentication, Passkeys And AI-Driven Threat Detection: The Next Evolution Of Enterprise Identity

As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...