Efficient compressed sensing-based security approach for video surveillance application in wireless multimedia sensor networks

Video surveillance application in wireless multimedia sensor networks (WMSNs) require that the captured video must be transmitted in a secured manner to the monitoring site. A compressed sensing (CS)-based security mechanism is proposed in which the security keys are generated from the measurement matrix elements for protecting the user's identity. The security keys are applied for protecting the video from being reconstructed by the attacker. The proposed framework is tested in real time using a WMSN testbed and the parameters such as memory footprint, security processing overhead, communication overhead, energy consumption, and packet loss are evaluated to demonstrate the effectiveness of the proposed security framework. The results showed that the proposed security mechanism has 92% less storage complexity compared to an existing CS-based security mechanism. The energy consumed for transmitting the secured measurements is 53% less when compared to raw frame transmission.