Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations
Closed Circuit Television (CCTV) is frequently utilized as legal evidence in judical proceedings. However, the authenticity of CCTV footage is often contested, requiring forensic analysis to verify its reliability as digital evidence. This study aimed to assess the authenticity of video footage usin...
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| Language: | English |
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Fakultas Ilmu Komputer UMI
2024-12-01
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| Series: | Ilkom Jurnal Ilmiah |
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| Online Access: | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2378 |
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| author | Ririn Anggraini Yudi Prayudi |
| author_facet | Ririn Anggraini Yudi Prayudi |
| author_sort | Ririn Anggraini |
| collection | DOAJ |
| description | Closed Circuit Television (CCTV) is frequently utilized as legal evidence in judical proceedings. However, the authenticity of CCTV footage is often contested, requiring forensic analysis to verify its reliability as digital evidence. This study aimed to assess the authenticity of video footage using the Localization Tampering method. To simulate manipulation, various manipulation techniques, such as zooming, cropping, converting to grayscale, deleting frames, and rotating video sections, were applied. The Localization Tampering method was then used to detect manipulated areas by analyzing individual frames, calculating their histograms, and interpreting the histogram graph result. The findings demonstrated the method's ability to accurately identify the location and duration of manipulated frames. This offered a valuable tool to support forensic investigations of CCTV footage. Furthermore, this study highlights the challenges in detecting manipulation in low-quality videos, which required more sophisticated remediation techniques. Despite these challenges, the Localization Tampering method demonstrated consistent reliability in preserving the integrity of video footage, making it a practical solution for verifying digital evidence in a legal context. Overall, this study provides an effective approach to ensure that manipulated videos can be identified and corrected, contributing to a more robust CCTV forensics process and maintaining the credibility as evidence in a crime case. |
| format | Article |
| id | doaj-art-7b0a89835fcd42849e5ce2eee7a87ed2 |
| institution | DOAJ |
| issn | 2087-1716 2548-7779 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Fakultas Ilmu Komputer UMI |
| record_format | Article |
| series | Ilkom Jurnal Ilmiah |
| spelling | doaj-art-7b0a89835fcd42849e5ce2eee7a87ed22025-08-20T02:52:49ZengFakultas Ilmu Komputer UMIIlkom Jurnal Ilmiah2087-17162548-77792024-12-0116331832910.33096/ilkom.v16i3.2378.318-329705Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV InvestigationsRirin Anggraini0Yudi Prayudi1Universitas Islam Indonesia YogyakartaUniversitas Islam Indonesia YogyakartaClosed Circuit Television (CCTV) is frequently utilized as legal evidence in judical proceedings. However, the authenticity of CCTV footage is often contested, requiring forensic analysis to verify its reliability as digital evidence. This study aimed to assess the authenticity of video footage using the Localization Tampering method. To simulate manipulation, various manipulation techniques, such as zooming, cropping, converting to grayscale, deleting frames, and rotating video sections, were applied. The Localization Tampering method was then used to detect manipulated areas by analyzing individual frames, calculating their histograms, and interpreting the histogram graph result. The findings demonstrated the method's ability to accurately identify the location and duration of manipulated frames. This offered a valuable tool to support forensic investigations of CCTV footage. Furthermore, this study highlights the challenges in detecting manipulation in low-quality videos, which required more sophisticated remediation techniques. Despite these challenges, the Localization Tampering method demonstrated consistent reliability in preserving the integrity of video footage, making it a practical solution for verifying digital evidence in a legal context. Overall, this study provides an effective approach to ensure that manipulated videos can be identified and corrected, contributing to a more robust CCTV forensics process and maintaining the credibility as evidence in a crime case.https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2378cctvdigital forensicsevidencehistogramlocalization tampering. |
| spellingShingle | Ririn Anggraini Yudi Prayudi Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations Ilkom Jurnal Ilmiah cctv digital forensics evidence histogram localization tampering. |
| title | Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations |
| title_full | Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations |
| title_fullStr | Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations |
| title_full_unstemmed | Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations |
| title_short | Techniques for Video Authenticity Analysis Using the Localization Tampering Method to Support Forensic CCTV Investigations |
| title_sort | techniques for video authenticity analysis using the localization tampering method to support forensic cctv investigations |
| topic | cctv digital forensics evidence histogram localization tampering. |
| url | https://jurnal.fikom.umi.ac.id/index.php/ILKOM/article/view/2378 |
| work_keys_str_mv | AT ririnanggraini techniquesforvideoauthenticityanalysisusingthelocalizationtamperingmethodtosupportforensiccctvinvestigations AT yudiprayudi techniquesforvideoauthenticityanalysisusingthelocalizationtamperingmethodtosupportforensiccctvinvestigations |