Integration and Implementation of Secured IP Based Surveillance Networks

This paper presents a method of integration and implementation of transmitting video and audio data from multiple Internet protocol (IP) surveillance cameras in a wireless sensor network to a centralized management unit (central node) using real time streaming protocol (RTSP). The wireless network is based on ldquostarrdquo topology by using the IEEE 802.11 series of standards in wireless local area networks (WLAN). Security for wireless communications between the sensors and central node is achieved in real-time through the proposed uncertainty classification of network traffic with little and negligible run-time overhead for hacker or threat detection. A correlation-based feature selection algorithm is utilized in the central node for improved intrusion detection speed and accuracy by eliminating redundant and irrelevant features in the feature space. Uncertainty problems are solved using the fuzzy belief k-nearest neighbours (k-NN) intrusion detector, which incorporates the fuzzy clustering technique with the Dempster-Shafer theory. Also, the detection process is made more efficient using the k-NN technique. Experimental results show up to 94% detection rate of potential threats and intrusions, which indicate a significant performance increase compared with three other classifiers.