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.

Bibliografiska uppgifter
Huvudupphovsman: Ahmed, Eshrak
Övriga upphovsmän: Sadeque, Farig Yousuf
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2024
Ämnen:
Länkar:http://hdl.handle.net/10361/23580
id 10361-23580
record_format dspace
spelling 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
institution Brac University
collection Institutional Repository
language English
topic Digital proofs
Digital files
Digital evidence
Copy-move
Digital forensic science
Electronic evidence--Law and legislation
spellingShingle 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
_version_ 1814308917789851648