Integrity analysis and detection of digital forensic evidences
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.
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10361-235802024-06-25T21:04:23Z Integrity analysis and detection of digital forensic evidences Ahmed, Eshrak Sadeque, Farig Yousuf Department of Computer Science and Engineering, Brac University Digital proofs Digital files Digital evidence Copy-move Digital forensic science Electronic evidence--Law and legislation This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. Cataloged from PDF version of thesis. Includes bibliographical references (pages 33-34). Technology has improved people’s day to day activities like how we communicate and access information. These days people are equipped with a digital camera and mobile phone and they tend to record almost everything happening around them like capturing food they are having or capturing beautiful sceneries around them. Maintaining image integrity is not crucial in informal situations but it is very important to maintain for forensics scientists who are dealing with digital forensic evidence. Recently in our country, a new law has been passed which states that from now on digital proofs can be used in court as evidence. As we know, digital files can be modified; hence the authentication of each and every piece of digital evidence has to be verified manually by experts. There are some researches on this, but could not find any feasible publicly available datasets to work on tools that can detect tampered automatically. My target is to build a dataset consisting of copy-move and cut-paste image forgeries created from the original images; and build a system with CNN models that will detect and automatically exclude photographs that have obvious, and medium levels of modification which will ease the pressure on digital forensics scientists. Eshrak Ahmed B.Sc in Computer Science 2024-06-25T09:29:27Z 2024-06-25T09:29:27Z ©2023 2023 Thesis ID 19301003 http://hdl.handle.net/10361/23580 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. 45 pages application/pdf Brac University |
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Brac University |
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Institutional Repository |
language |
English |
topic |
Digital proofs Digital files Digital evidence Copy-move Digital forensic science Electronic evidence--Law and legislation |
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Digital proofs Digital files Digital evidence Copy-move Digital forensic science Electronic evidence--Law and legislation Ahmed, Eshrak Integrity analysis and detection of digital forensic evidences |
description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023. |
author2 |
Sadeque, Farig Yousuf |
author_facet |
Sadeque, Farig Yousuf Ahmed, Eshrak |
format |
Thesis |
author |
Ahmed, Eshrak |
author_sort |
Ahmed, Eshrak |
title |
Integrity analysis and detection of digital forensic evidences |
title_short |
Integrity analysis and detection of digital forensic evidences |
title_full |
Integrity analysis and detection of digital forensic evidences |
title_fullStr |
Integrity analysis and detection of digital forensic evidences |
title_full_unstemmed |
Integrity analysis and detection of digital forensic evidences |
title_sort |
integrity analysis and detection of digital forensic evidences |
publisher |
Brac University |
publishDate |
2024 |
url |
http://hdl.handle.net/10361/23580 |
work_keys_str_mv |
AT ahmedeshrak integrityanalysisanddetectionofdigitalforensicevidences |
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