In agriculture, soil and meteorological sensors are used along low power networks to capture data, which allows for optimal resource usage and minimizing environmental impact. This study uses time series analysis methods for outliers' detection and pattern recognition on soil moisture sensor data to identify irrigation and consumption patterns and to improve a soil moisture prediction and irrig...

Anomaly detection across critical infrastructures is not only a key step towards detecting threats but also gives early warnings of the likelihood potential cyber-attacks, faults, or infrastructure failures. Owing to heterogeneity and complexity cybersecurity field, several anomaly algorithms have been suggested in recent past based on literature; however, there still exists little no research ...