Singh, RajeevPanwar, Amit2018-08-282018-08-282017-08http://krishikosh.egranth.ac.in/handle/1/5810069951Surveillance cameras are widely used anywhere to record video data. In order to counter the editing or copying by adversaries, assuring the integrity of the extracted video is one of the fundamental issues in this area. Video surveillance is increasing significance as organizations seek to safe guard physical and capital assets. At the same time, the necessity to observe more people, places, and things coupled with a desire to pull out more useful information from video data is motivating new demands for scalability, capabilities, and capacity. Two improved system are described for verifying video content integrity, one uses frame level integrity and other uses digital watermarking. Existing verification systems are unable to distinguish between attacks and regular modifications and are thus unsuitable countermeasures against actual threats. The first proposed method helps in identifying the distortion in the video data at the frame level. The second proposed method distinguishes attacks against video content from regular modifications by extracting time codes and header hash values embedded in the content itself and comparing them with the actual ones, making it well suited for content storage services. Evaluation showed that second method is more effective than the one using the digital signature scheme.ennullThesis