Network anomaly detection is an important and dynamic research area. Many Network Intrusion Detection methods and Systems (NIDS) have been proposed in the literature. In this paper, the authors ...

Timothy E. Smetek, Kenneth W. Bauer Jr. Hyperspectral anomaly detection is a useful means for using hyperspectral imagery to locate unusual objects. Current anomaly detection methods commonly use ...

The US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...

IBM quantum hardware has shown that quantum algorithms can detect subtle anomalies in complex datasets faster than classical ...

Enterprises deploy machine learning within SAP and cloud pipelines to catch data errors instantly and boost efficiency ...

Haiqu's new encoding technique allows quantum computers to process high-dimensional financial data, showing improved ...

Within the finance industry, detecting rare events — or anomalies — in data is key to solving business problems that can have high monetary costs such as financial crimes detection and risk modeling.