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Authors: Rizdqi Akbar Ramadhan 1 ; Desti Mualfah 2 and Dedy Hariyadi 3

Affiliations: 1 Department of Informatics, Universitas Islam Riau, Pekanbaru, Indonesia, Indonesia ; 2 Department of Computer Science, Universitas Muhammadiyah Riau, Pekanbaru, Indonesia, Indonesia ; 3 Jenderal Achmad Yani University of Yogyakarta, Indonesia

Keyword(s): Digital, Evidence, Forensic, Law, Acquisition, Multimedia.

Abstract: Conventional crime has existed since the beginning of human civilization where evidence and artifacts can be used as assumptions to prove crime. Every criminal who is proven to have committed a certain crime will be convicted in accordance with the stipulated law. In this paper, there is a conventional crime case that can be proven to be a crime with digital technology, namely CCTV. Digital evidence obtained from CCTV footage can be used as an assumption of the extent of crimes committed by criminals. Unfortunately, the quality of the recording is not easy to analyze due to the lack of resolution of the video recording and the lack of lighting in certain conditions. The analysis that will be carried out in this case uses visual manipulation tools called Adobe Lightroom and other supporting tools. Digital forensic implementation and digital evidence handling procedures are used to handle this case using the forensic static method.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Ramadhan, R.; Mualfah, D. and Hariyadi, D. (2020). Digital Forensics: Acquisition and Analysis on CCTV Digital Evidence using Static Forensic Method based on ISO /IEC 27037:2014. In Proceedings of the Second International Conference on Science, Engineering and Technology - ICoSET; ISBN 978-989-758-463-3, SciTePress, pages 85-89. DOI: 10.5220/0009120400850089

@conference{icoset20,
author={Rizdqi Akbar Ramadhan. and Desti Mualfah. and Dedy Hariyadi.},
title={Digital Forensics: Acquisition and Analysis on CCTV Digital Evidence using Static Forensic Method based on ISO /IEC 27037:2014},
booktitle={Proceedings of the Second International Conference on Science, Engineering and Technology - ICoSET},
year={2020},
pages={85-89},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009120400850089},
isbn={978-989-758-463-3},
}

TY - CONF

JO - Proceedings of the Second International Conference on Science, Engineering and Technology - ICoSET
TI - Digital Forensics: Acquisition and Analysis on CCTV Digital Evidence using Static Forensic Method based on ISO /IEC 27037:2014
SN - 978-989-758-463-3
AU - Ramadhan, R.
AU - Mualfah, D.
AU - Hariyadi, D.
PY - 2020
SP - 85
EP - 89
DO - 10.5220/0009120400850089
PB - SciTePress