Wireless Self-Protection Systems (WSPS)

The mobile computing systems continue to grow in features and device capabilities but they have many flaws in their security. The primary goal of the project is to develop a novel framework for wireless anomaly based intrusion detection and response systems, which is capable of detecting complex malicious attacks. This framework is based on multi-channel online monitoring and analysis of wireless network features with respect to multiple observation time windows. These features are related to Data Link Layer frame behaviors and the mobility of stations.

In this project, a general purpose wireless self-protection system (WSPS) is presented. WSPS has the following modules: Wireless network probes, Wireless features filtration and generation module, Wireless network flow generator, behavior analysis module, and action module. The WSPS system self protects against attacks by online monitoring and analyzing anomalies and misuses in the network features, and utilizes the low false alerts of the analysis module. The validation and effectiveness of this framework is carried out by experimenting with more han 20 different types of wireless attacks using Wireless LANs (WLANs). Our experimental results show that our approach can protect from wireless network attacks with average false-positive rate of 2.234%, and average detection rate of 99.13% for all the experimented attacks.