Human behavioral pattern analysis-based anomaly detection system in residential space

3D Gabor Based Hyperspectral Anomaly Detection

Hyperspectral anomaly detection is one of the main challenging topics in both military and civilian fields. The spectral information contained in a hyperspectral cube provides a high ability for anomaly detection. In addition, the costly spatial information of adjacent pixels such as texture can also improve the discrimination between anomalous targets and background. Most studies miss the wort...

Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional network-based intrusion detection systems (IDSs) are ineffective to be deployed in the cloud...

A Protocol Graph Based Anomaly Detection System

Anomaly detection systems offer the potential to identify new attacks before signatures are identified. To do so, these systems build models of normal user activity from historical data and then use these models to identify deviations from normal behavior caused by attacks. In this thesis, we develop a method of anomaly detection using protocol graphs, graph-based representations of network tra...

SOM-Based Anomaly Intrusion Detection System

In this paper, a SOM-based anomaly intrusion detection system is proposed, which can contract high-dimension data to lower, meanwhile keeping the primary relationship between clustering and topology. During the experiment, the theory of SOM is used to train three SOMs on the layers of system, process and network. Although our experiment environment is simpler than the real one, the result shows...

An Anomaly based Wireless Intrusion Detection System