Abstract
Digital Video authentication is very important issue in day to day life. A lot of devices have got the ability of recording or capturing digital videos and all these videos can be passed through the internet as well as many other non-secure channels. There is a problem of illegal updating or manipulation of digital video because of the development in video editing software. Therefore, video authentication techniques are required in order to ensure trustworthiness of the video. There are many techniques used to prevent this issue like Digital Signature and Watermarking, these solutions are successfully included in copyright purposes but it’s still really difficult to implement in many other situations especially in video surveillance. In this paper, a new method called PLEXUS is proposed for digital video authentication on temporal attacks. In authentication process, the sender will generate a signature according to the method steps using a video and private key. In verification process, the receiver will also generate a signature using the same video and private key then each signature will be compared. If the two signatures are matched then the video is not tampered otherwise the video is tampered. This method is implemented using 10 different videos and proved to be an efficient method.
Highlights
Video authentication continues to be an important subject with significant attraction to researchers in last few years
Researchers have done some work in the area of video authentication and several methods are presented on the subject of digital video authentication
In [11] proposed a new method for digital video authentication that depends on video statistical local information
Summary
Video authentication continues to be an important subject with significant attraction to researchers in last few years. A number of situations are reported where some well-known individuals in the society was detected against the law in different actions in the video recordings done by some journalists Unless they use reliable methods to find that the video is not easy to believe on these kinds of incidents. Criminals escape from getting arrested because this video that is used as facts against them indicating their crime will not completely confirmed in the court of law [1][3] When it comes to surveillance systems, it is hard to guarantee that the digital video provided as facts, is just like it had been recorded by the camera. There is certainly a good reason to use synthesizing literature to figure out the type of the condition, discover the probability of research difficulties, standardize different research subjects and evaluate the relative performances of the various methods [3]
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