Hossain, Dr.Muhammad IqbalBin Moshiur, TasnimulUllah, Mohammad ZafarNawar, NahianTazwar, Tawsif MuhammedNanjiba, Rifah2023-12-052023-12-0520232023-01ID: 18301014ID: 18201153ID: 19241015ID: 18301012ID: 19101522http://hdl.handle.net/10361/21925Cataloged from PDF version of thesis.Includes bibliographical references (pages 39-41).This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.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.42 pagesenBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.BlockchainSurveillance footageHashingCryptographyDeep learningCNNTraffic signs and signals.Blockchains (Databases)Thesis