Loose Game Theory Based Anomaly Detection Scheme for SDN-Based mMTC Services

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...

Model-Based Anomaly Detection on Network Services

The key hypothesis to anomaly detection assumes anomalous behaviors are suspicious from a normality point of view. This work provides a new perspective, network service, to model network activity for detecting anomalies. Past models often suffer from lacking of model normality verification, only including particular behavior aspect, and focusing on individual model. To confront them, we propose...

Loose Management for Multi-controller in SDN

A Network Anomaly Detection Method Based on Transduction Scheme

Network anomaly detection has been an active and difficult research topic in the field of intrusion detection for many years. Up to now, high false alarm rate, requirement of high quality data for modeling the normal patterns and the deterioration of detection rate because of some “noisy” data in the training set still make it not perform as well as expected in practice. This paper presents a n...