Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
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 ...
Outlookindia

Why Is ML-Driven Anomaly Detection Important for Preventing Malicious Signature Requests?

The most important challenge to the security of blockchains remains the protection of users from malicious signature requests as the adoption of cryptocurrencies goes on to gain even more momentum. A ...
pv magazine International

PV inverter output and anomalies predicted without environmental sensors

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...