Blockchain-based traffic surveillance footage authenticity detection system

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Manylion Llyfryddiaeth
Prif Awduron:	Bin Moshiur, Tasnimul, Ullah, Mohammad Zafar, Nawar, Nahian, Tazwar, Tawsif Muhammed, Nanjiba, Rifah
Awduron Eraill:	Hossain, Dr.Muhammad Iqbal
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	Brac University 2023
Pynciau:	Blockchain Surveillance footage Hashing Cryptography Deep learning CNN Traffic signs and signals. Blockchains (Databases)
Mynediad Ar-lein:	http://hdl.handle.net/10361/21925

id	10361-21925
record_format	dspace
spelling	10361-219252023-12-07T10:29:12Z Blockchain-based traffic surveillance footage authenticity detection system Bin Moshiur, Tasnimul Ullah, Mohammad Zafar Nawar, Nahian Tazwar, Tawsif Muhammed Nanjiba, Rifah Hossain, Dr.Muhammad Iqbal Department of Computer Science and Engineering, Brac University Blockchain Surveillance footage Hashing Cryptography Deep learning CNN Traffic signs and signals. Blockchains (Databases) This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 39-41). 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. Tasnimul Bin Moshiur Mohammad Zafar Ullah Nahian Nawar Tawsif Muhammed Tazwar Rifah Nanjiba B.Sc. in Computer Science 2023-12-05T09:40:01Z 2023-12-05T09:40:01Z 2023 2023-01 Thesis ID: 18301014 ID: 18201153 ID: 19241015 ID: 18301012 ID: 19101522 http://hdl.handle.net/10361/21925 en Brac 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. 42 pages application/pdf Brac University
institution	Brac University
collection	Institutional Repository
language	English
topic	Blockchain Surveillance footage Hashing Cryptography Deep learning CNN Traffic signs and signals. Blockchains (Databases)
spellingShingle	Blockchain Surveillance footage Hashing Cryptography Deep learning CNN Traffic signs and signals. Blockchains (Databases) Bin Moshiur, Tasnimul Ullah, Mohammad Zafar Nawar, Nahian Tazwar, Tawsif Muhammed Nanjiba, Rifah Blockchain-based traffic surveillance footage authenticity detection system
description	This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
author2	Hossain, Dr.Muhammad Iqbal
author_facet	Hossain, Dr.Muhammad Iqbal Bin Moshiur, Tasnimul Ullah, Mohammad Zafar Nawar, Nahian Tazwar, Tawsif Muhammed Nanjiba, Rifah
format	Thesis
author	Bin Moshiur, Tasnimul Ullah, Mohammad Zafar Nawar, Nahian Tazwar, Tawsif Muhammed Nanjiba, Rifah
author_sort	Bin Moshiur, Tasnimul
title	Blockchain-based traffic surveillance footage authenticity detection system
title_short	Blockchain-based traffic surveillance footage authenticity detection system
title_full	Blockchain-based traffic surveillance footage authenticity detection system
title_fullStr	Blockchain-based traffic surveillance footage authenticity detection system
title_full_unstemmed	Blockchain-based traffic surveillance footage authenticity detection system
title_sort	blockchain-based traffic surveillance footage authenticity detection system
publisher	Brac University
publishDate	2023
url	http://hdl.handle.net/10361/21925
work_keys_str_mv	AT binmoshiurtasnimul blockchainbasedtrafficsurveillancefootageauthenticitydetectionsystem AT ullahmohammadzafar blockchainbasedtrafficsurveillancefootageauthenticitydetectionsystem AT nawarnahian blockchainbasedtrafficsurveillancefootageauthenticitydetectionsystem AT tazwartawsifmuhammed blockchainbasedtrafficsurveillancefootageauthenticitydetectionsystem AT nanjibarifah blockchainbasedtrafficsurveillancefootageauthenticitydetectionsystem
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Blockchain-based traffic surveillance footage authenticity detection system

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