The admissibility of electronic fingerprints as evidence in criminal proceedings
DOI:
https://doi.org/10.70715/jitcai.2026.v3.i1.042Keywords:
electronic fingerprints; deepfakes; biometric data; chain of possession.Abstract
This study aimed to analyze the admissibility of electronic fingerprints in criminal evidence from a legal and technical perspective, highlighting the challenges and opportunities associated with their use as a modern evidentiary tool. The study employed a descriptive-analytical approach, supported by consultations with legal professionals and digital evidence specialists. The study reached several key findings, including: that electronic fingerprints have become legally accepted at the textual level, but their practical application in evidentiary procedures varies depending on the quality of the procedures and implementing legislation; that there has been tangible progress in adopting electronic fingerprint technologies in Palestinian governmental, banking, and security institutions, despite limited adoption due to available resources; that the chain of possession and technical standards are crucial factors in the admissibility of evidence, while the shortage of qualified personnel and accredited laboratories represents a major obstacle to accurate analysis; that the increasing threat of modern technologies, such as deepfakes, and the lack of international consensus on standards and jurisdictional restrictions hinder access to digital data stored outside the country; and that the need to protect privacy and individual rights when dealing with biometric data has become apparent. Finally, there is a growing trend toward hybrid biometric technologies to enhance accuracy and resist forgery. The study recommended establishing a comprehensive legislative and regulatory framework to govern the collection, storage, and use of biometric data, along with safeguards to protect rights; standardizing technical and procedural criteria in accordance with international standards to ensure the validity of evidence and the integrity of the chain of possession; establishing a national digital forensics laboratory and training judicial and security personnel in its use; and investing in digital forgery detection technologies and adopting hybrid biometric systems to enhance the reliability of electronic fingerprints as a means of criminal proof.
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References
1. Abdul Wahab, Rashid bin Ali. (2018). Forensic Fingerprint Science, College of Forensic Sciences, Naif Arab University for Security Sciences, Riyadh, Saudi Arabia, p. 24.
2. AJSRP. (2022). Legal and ethical aspects of digital evidence. Arab Journal of Scientific Research Publishing.
3. Al-Attar, Muhammad. (2019). Thermal Technologies in Security Monitoring Systems. Cairo: Dar Al-Fikr Al-Arabi.
4. Al-Sahmawi, Hiba. (2023). Electronic Facial Recognition and its Admissibility in Civil Proceedings: A Comparative Study, Journal of Legal and Economic Research, (2): 1-106.
5. Al-Tariqi, Sulaiman Muhammad. (2007). Electronic Signature. Journal of Law and Economics, Issue 1, p. 267.
6. Buddharaju, P. (2007). Physiology-Based Face Recognition in the Thermal Infrared Spectrum. Ph.D. Dissertation, University of Houston, USA.
7. Cybercrimes. (2018). Decree-Law No. (10) of 2018 Concerning Cybercrimes. State of Palestine.
8. Ejfs. (2021). Electronic evidence and its authenticity in forensic evidence. Egyptian Journal of Forensic Sciences, Springer Open.
9. European Union GDPR. (2018). General Data Protection Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data. Official Journal of the European Union, L119, 1–88.
10. Garrett, B. L. (2025). Judging Fingerprint Evidence. SSRN. DOI: https://doi.org/10.2139/ssrn.5076620
11. Hammadi, Abd al-Fattah Yusuf. (2005). Electronic Signature in Comparative Legal Perspective. Dar al-Fikr al-Jami'i, Alexandria.
12. Ibn Manzur, Muhammad ibn Mukarram. (1993). Jamal al-Din, Lisan al-Arab, Volume 1, First Edition, Dar Sader, Beirut, Lebanon, p. 29.
13. International Organization for Standardization (ISO/IEC). (2011). ISO/IEC 19794-2: Information technology — Biometric data interchange formats — Part 2: Finger minutiae data. ISO.
14. ISO/IEC. (2011). ISO/IEC 19794-2: Information technology — Biometric data interchange formats — Part 2: Finger minutiae data. ISO.
15. JICLT. (2020). Digital evidence in international legal proceedings. Journal of International Commercial Law and Technology.
16. Journal of International Commercial Law and Technology (JICLT). (2020). Digital evidence in international legal proceedings. Journal of International Commercial Law and Technology, 15(2), 112–125.
17. Maddah, Fatih. (2020). The Relationship Between the Application of the Electronic Fingerprint System and Employee Performance: A Field Study at the Faculty of Humanities and Social Sciences, Mohamed Bouyaf University of M'sila, Algeria, p. 15.
18. Malham, Muhammad. (2023). Problems of the Legal System in Cybercrime, Birzeit University, Palestine.
19. Mina, Fayeq. (2025). The impact of electronic fingerprinting in criminal cases, accessed 6.10.2025 https://www.menafayq.com/the-impact-of-electronic-fingerprint-in-criminal-cases/
20. National Institute of Standards and Technology (NIST). (2013). Biometric specifications for personal identity verification (NIST Special Publication 800-76-2). U.S. Department of Commerce.
21. NIST. (2013). Biometric Specifications for Personal Identity Verification (SP 800-76-2). National Institute of Standards and Technology.
22. Pavlidis, I., & Buddharaju, P. (2009). Physiological face recognition in the thermal infrared spectrum. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(4), 613–626. DOI: https://doi.org/10.1109/TPAMI.2007.1007
23. Sciences, 11(37), 1–9. Springer Open. https://doi.org/10.1186/s41935-021-00225-z
24. Silva, N., Proença, H., & Alexandre, L. A. (2019). Thermal face recognition: A comprehensive overview. Pattern Recognition Letters, 125, 123–131.
25. Telecom Review. (2024). Electronic Fingerprinting... Will It Destroy Passwords? Accessed October 5, 2025. https://www.telecomreviewarabia.com/articles/reports-coverage/3956-electronic-fingerprinting-will-it-destroy-passwords
26. Zhao, L., Li, Y., & Li, J. (2021). Thermal face recognition via deep learning and image enhancement. Sensors, 21(11), 3778.
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Copyright (c) 2026 Abdullah Mahmmoud, Ribhi wajeeh mousa Dola, Kamal Alieyan, Waheeb Abu-ulbeh (Author)

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