This paper describes a novel approach to detecting orientation and identity of robots using a global vision system. Instead of additional markers, the original shape of the robot ...
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...
Most intrusion detection systems apply the misuse detection approach. Misuse detection compares recorded audit data with predefined patterns denoted as signatures. A signature is ...
In recent years, web applications have become tremendously popular, and nowadays they are routinely used in security-critical environments, such as medical, financial, and milita...
Marco Cova, Davide Balzarotti, Viktoria Felmetsger...
— Anomaly-based intrusion detection systems have the ability of detecting novel attacks, but in real-time detection, they face the challenges of producing many false alarms and f...