Anomaly Intrusion Detection System based on Unlabeled Data

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

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...

Distributed Anomaly-based Intrusion Detection System

Intrusion Detection Systems (IDS) are software or hardware systems, which automatically monitor network traffic looking for suspicious signs of intrusions. Their aim is to recognise already on-going attacks, and possibly block them, in co-operation with other tools like firewalls, as well. According to data processing, one family of IDS-s is anomaly based intrusion detection systems, which assu...

Anomaly Intrusion Detection based on Fuzzy Logic and Data Mining

Intrusion Detection Systems are increasingly a key part of systems defense. Various approaches to Intrusion Detection are currently being used, but they are relatively ineffective. Artificial Intelligence plays a driving role in security services. This paper proposes a dynamic model Intelligent Intrusion Detection System, based on specific AI approach for intrusion detection. The techniques tha...