PLASTIK KARTAGA OID JINOYATLARINI ANIQLASHNING INTEGRATSIYALASHGAN YONDASHUVI
Abstract
Maqolada karding – bank kartalari ma’lumotlarini o‘g‘irlash va ularni firibgarlik maqsadlarida qo‘llash bilan bog‘liq jinoyatlarni aniqlash va fosh etishda o‘quv platformalaridan tizimli foydalanish masalalari yoritilgan. Tadqiqotda ushbu jarayonni samarali tashkil etish uchun kiberpoligon asosidagi integratsiyalashgan o‘quv muhiti taklif etiladi. Mazkur muhit SIEM tizimlari, tranzaksiya tahlili, raqamli kriminalistika, OSINT/Darknet monitoring hamda mashinali o‘qitish modullarini yagona laboratoriya doirasida birlashtirish orqali mutaxassislarning amaliy ko‘nikmalarini rivojlantirishga xizmat qiladi.
References
1. European Union Agency for Law Enforcement Cooperation. Internet Organised Crime Threat Assessment (IOCTA). – Hague: Europol, 2023.
2. National Institute of Standards and Technology. Guide to Integrating Forensic Techniques into Incident Response (NIST SP 800-86). – Gaithersburg, 2012.
3. International Organization for Standardization. ISO/IEC 27001:2022 Information Security Management Systems – Requirements. – Geneva, 2022.
4. Council of Europe. Convention on Cybercrime (Budapest Convention). – Budapest, 2001.
5. Casey, E. Digital Evidence and Computer Crime: Forensic Science, Computers and the Internet. – Academic Press, 2011.
6. Behl, A., Behl, K. Cybersecurity and Cyberwar: What Everyone Needs to Know. – Oxford University Press, 2017.
7. SANS Institute. Digital Forensics and Incident Response (DFIR) White Papers. – 2020–2024.
8. MITRE Corporation. MITRE ATT&CK Framework. – https://attack.mitre.org
9. Holt, T. J., Smirnova, O., Chua, Y. T. Exploring and Estimating the Revenues of Cybercrime Markets. – Social Science Computer Review, 2016.
10. Krebs on Security. Carding and Payment Fraud Investigations Reports. – 2018–2024.
11. OWASP Foundation. OWASP Top 10: Web Application Security Risks. – 2021.
12. Aggarwal, C. C. Machine Learning for Cybersecurity. – Springer, 2019.
13. Ribeiro, M. T., Singh, S., Guestrin, C. “Why Should I Trust You?” Explaining the Predictions of Any Classifier (LIME). – KDD, 2016.
14. Lundberg, S. M., Lee, S.-I. A Unified Approach to Interpreting Model Predictions (SHAP). – NIPS, 2017.
15. Interpol. Cybercrime: Payment Card Fraud Reports. – 2022–2024
16. Мирзаева, М. Б., & Абдазимов, С. З. (2022). Использование технологий искусственного интеллекта в сфере высшего образования.
17. Abdazimov, S., & Mustafa, D.. (2026). Zamonaviy axborot xavfsizligi tizimlarini loyiihalash: ai va iot yondashuvlari ASOSIDA. Научный Фокус, 3(34), 313-321.
18. Abdazimov, S., & Mustafa, D.. (2026). Simmetrik kriptotizimlarda o ‘rniga qo ‘yish algoritmlarining qiyosiy tahlili va amaliy ahamiyati.
Научный Фокус, 3(34), 231-237.
19. Abdazimov, S., & Mustafa, D. (2026). Biometric authentication: modern methods of ensuring information security. Научный Фокус, 3(34), 222-230.
20. Saidaminxo’Dja Zoirxo’Dja, O. G., & Abdazimov, L. (2022). Ijtimoiy tarmoqlarda axborot xurujlarini tarqalish ehtimolligini bashoratlash va ulardan himoyalash usuli va modellari. Central Asian Research Journal for Interdisciplinary Studies (CARJIS), 2(5), 109-115.
