Blockchain-based traffic surveillance footage authenticity detection system
AuthorBin Moshiur, Tasnimul
Ullah, Mohammad Zafar
Tazwar, Tawsif Muhammed
MetadataShow full item record
With the advancement in technology, fraudulent videos are becoming harder to de tect and easier to produce. Surveillance footage can serve as circumstantial evidence when dealing with crimes, however when this footage is tampered with, there is a great loss in evidence and the footage loses its value. To combat this growing prob lem, in this paper, we aim to find a new system to determine authenticity in a video for security measures based on Blockchain & Deep Learning Tools. The importance of Blockchain in this era of time is gradually increasing due its decentralized features, fault-tolerance attribute, immutability. This paper is looking forward to introducing a system which protects the surveillance footage gathered from a camera in a faster and optimal approach so that the authenticity can be checked and protected. Our goal is to implement a system which would secure the importance of crucial footage as evidence.