Article content

Mohamed Fawzy Ibrahem

Abstract

This research aims to explore the integration of artificial intelligence and quantum computing in developing cyber forensics analysis as a proactive mechanism to combat cybercrime and terrorism. Quantum computing provides superior capabilities in decrypting complex encryptions, analyzing massive criminal datasets, and detecting hidden patterns, while artificial intelligence enhances the accuracy of tracking cyber and biometric fingerprints, predicting crimes, and early detection of threats. This contributes to increasing the efficiency of investigations and the speed of response. The study adopted a descriptive analytical approach, and the research highlights the importance of these quantum and intelligent tools in confronting organized crime, terrorist financing, cross-border money laundering, and complex financial crimes, in addition to their role in supporting intelligent monitoring of sensitive infrastructure such as airports and ports. The study recommends the need to develop cyber security systems, establish smart criminal laboratories that rely on generative artificial intelligence systems technologies, integrate these applications into law enforcement, enhance specialized training programs for security and judicial personnel, and build partnerships with global companies that manufacture these technologies, making investment in them a strategic necessity to protect national security and promote cyber justice.

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References

المراجع العربية

الحربي، خالد بن عبد الله. (2023). الحوسبة الكمومية: المفاهيم الأساسية والآفاق التطبيقية في الأمن السيبراني، مجلة الأمن السيبراني، 5(2)، 78-45.

خليفة، إبراهيم (2020) الحرب السيبرانية: الاستعداد لقيادة المعارك العسكرية في الميدان الخامس. القاهرة: دار العربي للنشر والتوزيع.

ابن خليفة، إسماعيل (2014) دور البصمات والآثار العادية في الإثبات الجنائي، الأردن: دار الثقافة.

أبو دوح، خالد (2023). تقرير المخاطر العلمي (من أجل دعم السياسات واتخاذ القرار). مركز البحوث الأمنية، جامعة نايف العربية للعلوم الأمنية.

https://spp.nauss.edu.sa/index.php/spp/article/view/108/87

راشد، باسم (2019). التنبؤ بالهجمات: فرص ومخاطر استخدامات الذكاء الاصطناعي في مكافحة الإرهاب. مركز المستقبل للدراسات المستقبلية، أبو ظبي.

أبو رشيد، غسان (2021). الوسائل العلمية لمعاينة مسرح الجريمة، مجلة العلوم الجنائية.

سليمان، قاسم (2022). مواجهة الجرائم السيبرانية في ضوء الاتفاقيات الدولية، مجلة البحوث القانونية والاقتصادية، 5(2)..

الشناوي، على. (2022). الحجية القانونية للأدلة السيبرانية ومدى قبول المخرجات الذكية في إجراءات الإثبات الجنائي. مجلة البحوث القانونية والاقتصادية، جامعة المنصورة، 48(3)، 215–260. https://doi.org/10.21608/mkaf.2022.XXXXX

عبد الحميد، محمد (2023). الإثبات الجنائي في البيئة السيبرانية وأثر التقنيات الذكية على حجية الأدلة أمام القضاء. مجلة الدراسات القانونية والاقتصادية، جامعة القاهرة، 95(2)، 341–380.

عبد الظاهر، وليد (2021). آليات مركز دبي للأمن الإلكتروني للتوعية بالإستراتيجية الوطنية للأمن السيبراني، مجلة اتحاد الجامعات العربية لبحوث الاتصال.

عبد الواحد، وليد (2021). الإرهاب الإلكتروني والأمن القومي في ظل جائحة كورونا، المجلة العربية للدراسات الأمنية.

عزام، محمد (2024). الذكاء الاصطناعي.. مظلة حماية الأمن القومي في القرن الحادي والعشرين. مجلة السياسة الدولية.

https://www.siyassa.org.eg/News/19653.aspx

النمر، محمد (2021) حجية الأدلة السيبرانية في الإثبات الجنائي، الإسكندرية: دار الجامعة الجديدة.

المراجع الأجنبية

Al-Mutairi, A., Robertson, J., & Lee, S. (2025). Quantum–AI integrated cyber forensics architectures for post-quantum crime investigation. IEEE Access, 13, 44521–44538. https://doi.org/10.1109/ACCESS.2025.XXXXXX

Ahmad, A., et al. (2020). Integration of cybersecurity management and incident response.

Alvarez, M. (2025). Evidentiary challenges in the age of quantum computing.

International Review of Law & Technology, 33(2), 112–139.

Alzahrani, S., & Pichappan. (2025). An empirical study of enabling security systems for organizations. IT & National Security Conference.

Andersen, L. (2018). Human Rights in the Age of Artificial Intelligence. AccessNow.

Annarelli, A., Nonino, F., & Palombi, G. (2020). Cyber resilient systems. Computers & Industrial Engineering.

ARES Security. (2025). How security robots are revolutionizing security.

https://aressecuritycorp.com/2024/10/07/security-robots/

Arishee, J. (2020). Arab Journal for Security Studies, 36(2).

Boukabous, M., & Azizi, M. (2022). Multimodal sentiment analysis for crime detection.

https://doi.org/10.1109/IRASET52964.2022.9738175

Boukabous, M., & Azizi, M. (2023). Crime prediction using DL. Bulletin of Electrical Engineering & Informatics, 12(3).

https://doi.org/10.11591/eei.v12i3.5157

Bui, D. T., et al. (2020). Comparing deep learning and machine learning for landslide susceptibility. CATENA, 188, 104426.

Çelikkaya, D. (2024). Ethical Concerns of AI Use in the Criminal Justice System Under EU Law. Marmara University.

Dixon, T., & Eagan, J. (2019). AI and cyberattacks. https://www.weforum.org/agenda/2019/06/ai-is-powering-a-new-generation-of-cyberattack-its-also-our-best-defence/

Duncan, K. A. (2020). Role of Intelligence in the Prevention of Terrorism. ICCT.

Global Digital Forensics. (2020). Banking fraud case study.

https://evestigate.com/case-study/banking-industry-executive-level-financial-fraud/

Hashi, A. O. (2023). Deep learning for crime intention detection. IJACSA, 14(4).

https://doi.org/10.14569/IJACSA.2023.0140434

Huestis, G. (2024). Digital forensics experts and private investigators.

https://powerhouseforensics.com

Infosys. (2025). Quantum computing and financial fraud detection.

https://blogs.infosys.com/emerging-technology-solutions/quantum-computing/quantum-computing-and-financial-fraud-detection.html

Jejelola, F. O. (2024). The role of AI in eradication of transnational crime.

https://doi.org/10.47772/IJRISS.2024.8110069

Kaspersky. (2024). What is facial recognition? https://me.kaspersky.com/resource-center/definitions/what-is-facial-recognition

Krelina, M. (2021). Quantum technology for military applications. EPJ Quantum Technology, 8.

Lee, D., & Al-Harthy, A. (2025). Cybercrime detection using AI: Case studies and emerging methodologies. International Journal of Cyber Criminology, 19(1), 77–98.

Lewis, A., & Travagnin, M. (2022). A secure quantum communications infrastructure for Europe.

https://doi.org/10.2760/180945

Los Angeles Times. (2025). John McCarthy obituary. http://www.latimes.com/news/obituaries/la-me-john-mccarthy-20111027,0,7137805.story

Misra, S. (2023). Confluence of AI, Machine and Deep Learning in Cyber Forensics. IGI Global.

Mohammed-Abed. (2023). International child abduction. Journal of Legal Sciences, 37, 698–724.

https://doi.org/10.35246/jols.v38i2.691

OECD. (2024). Artificial intelligence and data governance for public security. OECD Publishing. https://doi.org/10.1787/ai-data-security-2024-en

Quantum-Enhanced AI Systems for Next-Generation Cyber Forensics and Crime Prediction” (Al-Mutairi, Robertson & Lee, 2025)

Omand, D., Bartlett, J., & Miller, C. (2021). Introducing social media intelligence (SOCMINT). Intelligence and National Security.

Russo, L., & Oder, N. (2023). How countries are implementing the OECD principles for trustworthy AI. https://oecd.ai/en/wonk/national-policies-2

Schuld, M., & Killoran, N. (2024). Quantum machine learning in practice: Implications for security and forensic analytics. Quantum Information Processing, 23(5), 198. https://doi.org/10.1007/s11128-024-04211-9

Schuld, M., & Petruccione, F. (2021). Machine learning with quantum computers (2nd ed.). Springer.

https://doi.org/10.1007/978-3-030-83098-4

Wang, H., Lei, Z., Zhang, X., Zhou, B., & Peng, J. (2016). Machine learning basics. Deep Learning, 1.

Wang, J., & Pei, D. (2017). Kernel-based DL for intelligent data analysis. EIIS.

https://doi.org/10.1109/EIIS.2017.8298716

White, J. D., et al. (2021). Insights into the genetic architecture of the human face. Nature Genetics, 53(1), 45–53.

Wu, Z., Zhang, H., Wang, P., & Sun, Z. (2022). RTIDS: Transformer-based intrusion detection. IEEE Access, 10, 64375–64387.

Yadav, S. (2023). Artificial intelligence: An advanced evolution in forensic and criminal investigation. Current Forensic Science, 1(1).

https://doi.org/10.2174/2666484401666220819111603

Zhang, Y., & Martinez, L. (2025). Quantum computing architecture and cybersecurity.

Journal of Quantum Information Systems, 14(1), 22–41.

Zuwanda, Z. S., et al. (2024). Ethical and legal analysis of AI in law enforcement. Easta Journal of Law & Human Rights, 2(3).

World Economic Forum. (2024). Quantum technologies and national security: Risks, governance, and strategic competition. World Economic Forum.

U.S. Department of Defense. (2024). Quantum science and technology strategy. Office of the Under Secretary of Defense for Research and Engineering.

Krelina, M. (2024). Quantum technology and global security: Strategic stability and arms control challenges. Contemporary Security Policy, 45(2), 245–267. https://doi.org/10.1080/13523260.2024.2321456.

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