Using network monitoring application for detection of anomalies in surveillance video traffic

Video surveillance systems are important part of today's organizations. When there is no live observation of the cameras image, it is important to have some alarm mechanisms for detection of physical impact against the cameras. Most simple video systems can detect motion and/or loss of video signal, but are vulnerable to covering or spraying the camera's lenses. Present study proposes a method for detection of similar anomalies through network traffic monitoring software, using study of typical network traffic from cameras.