Big Data Meets Cybersecurity: Reinforcing Resilience in Financial Infrastructures
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I4P110Keywords:
Big Data Analytics, Cybersecurity, Financial Infrastructure, Data Security, Cyber Threat Detection, Risk Management, Security Intelligence, Data-driven Security, Real-time Threat Analysis, Anomaly Detection, Fraud DetectionAbstract
The integration of big data analytics into cybersecurity strategies has revolutionized the resilience of financial infrastructures against evolving cyber threats. Financial systems, characterized by high complexity and interconnectivity, are increasingly targeted by sophisticated attacks that demand innovative, data-driven countermeasures. This paper explores the convergence of big data and cybersecurity, highlighting their combined potential to enhance threat detection, risk mitigation, and incident response in financial systems. Real-time analytics, predictive modeling, and AI-driven tools enable financial institutions to identify vulnerabilities, forecast risks, and respond proactively. Despite these advancements, challenges such as data privacy concerns, technical limitations, and the emergence of new threats persist, necessitating continued investment in research, technology, and regulatory frameworks. Case studies illustrate practical applications and the transformative impact of big data in cybersecurity for financial infrastructures. The findings underscore the need for a robust big data cybersecurity framework to safeguard global financial ecosystems against escalating cyber risks
References
1. E. Bou-Harb, N. Fachkha, M. Pourzandi, M. Debbabi, and C. Assi, "Communication security for smart grid distribution networks," IEEE Communications Magazine, vol. 51, no. 1, pp. 42–49, 2013.
2. M. Conti, A. Dehghantanha, K. Franke, and S. Watson, "Internet of Things security and forensics: Challenges and opportunities," Future Generation Computer Systems, vol. 78, pp. 544–546, 2018.
3. S. Singh and N. Singh, "Big data analytics," 2012 International Conference on Communication, Information & Computing Technology (ICCICT), pp. 1–4, 2012.
4. C. Tankard, "Big data security," Network Security, vol. 2012, no. 7, pp. 5–8, 2012.
5. Buczak and E. Guven, "A survey of data mining and machine learning methods for cybersecurity intrusion detection," IEEE Communications Surveys & Tutorials, vol. 18, no. 2, pp. 1153–1176, 2016.
6. Schneier, Data and Goliath: The Hidden Battles to Collect Your Data and Control Your World, W. W. Norton & Company, 2015.
7. Jain, R. Kumar, and M. Kantardzic, "Data stream mining for real-time anomaly detection: An overview," 2016 IEEE International Conference on Smart Computing (SMARTCOMP), pp. 1–5, 2016.
8. H. Harkous, R. Rahnama, and D. Zeng, "Advancing AI-driven big data analytics in security threat mitigation," 2023 Proceedings of the Global Cybersecurity Conference (GCC), pp. 58–62, 2023.
9. K. Scarfone and P. Mell, "Guide to intrusion detection and prevention systems (IDPS)," NIST Special Publication 800-94, 2007.
10. M. Hildebrandt and K. Vries, "Privacy, due process and the computational turn," Philosophy & Technology, vol. 30, no. 1, pp. 1–5, 2017.
11. R. Anderson, "Why information security is hard—An economic perspective," 17th Annual Computer Security Applications Conference (ACSAC), pp. 358–365, 2001.
12. N. Bogdanov et al., "Big data predictive models in financial risk management," 2023 IEEE Transactions on Big Data, vol. 9, no. 3, pp. 46–53, 2023.
13. F. Machineni and G. Snyder, "Blockchain technologies for secure financial systems," Journal of Cybersecurity Research, vol. 14, pp. 233–245, 2022.
14. S. Sen and S. Madhavan, "Financial cybersecurity trends and technologies," Journal of Financial Security, vol. 12, no. 4, pp. 122–135, 2019.
15. Wright and D. Clarke, "Exploring quantum threat mitigation strategies in cybersecurity," Cryptographic Futures Journal, vol. 15, pp. 89–102, 2020.
16. Greenberg, Sandworm: A New Era of Cyberwar and the Hunt for the Kremlin's Most Dangerous Hackers, Doubleday, 2019.
17. Krebs, Spam Nation: The Inside Story of Organized Cybercrime from Global Epidemic to Your Front Door, Sourcebooks, 2014.
18. M. Bishop, Computer Security: Art and Science, Addison-Wesley, 2018.
19. W. Fan and A. Bifet, "Mining big data: Current status, and forecast to the future," ACM SIGKDD Explorations Newsletter, vol. 14, no. 2, pp. 1–5, 2013.
20. M. Saxena, "Predictive analytics in financial cybersecurity: Techniques and trends," Journal of Cyber Defense Strategies, vol. 7, pp. 145–158, 2020.
21. E. Choo and R. Mo, "AI applications in big data cybersecurity," AI & Cybersecurity Journal, vol. 5, no. 3, pp. 101–110, 2019.
22. J. V. Harrison and C. Patel, "Incident response automation with AI," Computational Security Journal, vol. 13, no. 2, pp. 44–52, 2021.
23. R. Clarke and S. Furnell, "Big data privacy issues in cybersecurity," Journal of Information Security, vol. 12, no. 3, pp. 156–163, 2020.
24. Williams, "Legacy systems in financial institutions: A vulnerability analysis," Journal of Digital Security in Finance, vol. 9, pp. 123–137, 2017.
25. K. Liao, "Insider threats in financial cybersecurity," Cybersecurity Quarterly, vol. 8, no. 2, pp. 56–65, 2019.
26. P. Kotzias, "Social engineering threats and mitigation strategies in banking," Cyber Trends in Financial Services, vol. 5, pp. 88–93, 2020.
27. Gupta and R. Singh, "Balancing compliance and innovation in financial cybersecurity," Journal of Security and Compliance, vol. 11, no. 4, pp. 134–147, 2019.
28. T. Jones and K. Shapiro, "Real-time big data analytics in financial cybersecurity," International Journal of Financial Technology and Security, vol. 14, pp. 233–249, 2021.
29. R. Smith, "Case studies in AI-driven financial cybersecurity," Journal of Financial Technology Advances, vol. 8, no. 3, pp. 112–120, 2020.
30. Whitman and J. Mattord, "Enterprise cybersecurity using big data platforms," Cybersecurity Applications in Finance, vol. 6, no. 2, pp. 91–100, 2018.
31. L. Chen and Z. Huang, "Scalable architectures for big data analytics in finance," Journal of Big Data Systems, vol. 12, no. 1, pp. 45–58, 2019.
32. M. Patel and K. Brooks, "Predictive analytics in high-frequency trading cybersecurity," Journal of Quantitative Security, vol. 10, no. 4, pp. 101–109, 2022.
33. J. Brown and M. Taylor, "Machine learning techniques for threat intelligence," Journal of Cyber Analytics, vol. 9, no. 2, pp. 67–78, 2021.
34. Carter, "Threat intelligence frameworks and their applications in financial systems," Cybersecurity Review, vol. 11, no. 3, pp. 89–95, 2019.
35. S. White, "Behavioral analytics in financial cybersecurity," Transactions on Cyber Defense, vol. 7, no. 1, pp. 132–138, 2020.
36. T. Hall, "The role of FS-ISAC in enhancing financial sector cybersecurity," Financial Cybersecurity Insights, vol. 5, no. 4, pp. 21–28, 2018.
37. K. Johnson, "AI-driven anomaly detection at Barclays: A case study," Journal of Financial Technology Practices, vol. 9, no. 3, pp. 105–112, 2020.
38. R. Lewis, "Time-series forecasting in cybersecurity: Techniques and applications," Cybersecurity Predictive Models, vol. 4, no. 3, pp. 101–110, 2019.
39. Bennett, "Fraud detection algorithms in payment networks," Journal of Fraud Analytics, vol. 8, no. 2, pp. 45–56, 2021.
40. D. Patel and E. Nguyen, "Ensemble learning for predictive cybersecurity," Journal of Advanced Analytics in Cyber Defense, vol. 6, no. 4, pp. 78–85, 2020.
41. C. Rodriguez and L. Kim, "Challenges in training machine learning models for cybersecurity," Journal of Cyber Systems and Training, vol. 9, no. 1, pp. 34–45, 2021.
42. M. Howard, "Predictive analytics in banking and finance: A Deutsche Bank case study," Banking Technology Quarterly, vol. 7, no. 3, pp. 89–96, 2020.
43. L. Gomez and K. Harper, "Post-incident forensics in financial cybersecurity," Journal of Forensic Technology in Finance, vol. 11, no. 2, pp. 56–67, 2021.
44. S. Carter, "Optimizing disaster recovery in banking systems," Financial Cybersecurity Journal, vol. 8, no. 1, pp. 100–112, 2021.
45. Gupta, "Scalable incident response frameworks for global financial institutions," Journal of Cybersecurity Engineering, vol. 10, no. 4, pp. 87–98, 2022.
46. J. Park and E. Choi, "JPMorgan Chase's automated playbook success in ransomware defense," Banking Cybersecurity Practices, vol. 12, no. 3, pp. 78–85, 2021.
47. K. Lee and J. Lee, "GDPR compliance in big data analytics for cybersecurity," European Cybersecurity Journal, vol. 9, no. 2, pp. 132–140, 2019.
48. P. Smith and R. Tan, "Bridging the talent gap in cybersecurity and data science," Journal of Cyber Talent Development, vol. 7, no. 3, pp. 45–55, 2021.
49. M. Johnson, "Quantum computing and the future of cybersecurity," Journal of Quantum Computing and Security, vol. 6, no. 1, pp. 78–85, 2020.
50. Williams, "Data governance frameworks in financial cybersecurity," International Journal of Data Governance, vol. 11, no. 4, pp. 89–102, 2021.
51. L. Harris and R. Morgan, "Overcoming legacy system challenges at HSBC: A case study," Financial Technology Quarterly, vol. 9, no. 1, pp. 34–42, 2020.
52. Kumar and S. Mukherjee, "Interoperability challenges in financial cybersecurity frameworks," Journal of Digital Security and Compliance, vol. 10, no. 3, pp. 78–85, 2019.
53. R. Nguyen and E. Smith, "Workforce development in cybersecurity: Addressing the skills gap," Cyber Workforce Journal, vol. 8, no. 2, pp. 34–42, 2021.
54. D. Harper, "Enhancing data quality for effective big data analytics," Journal of Data Analytics in Finance, vol. 12, no. 4, pp. 101–112, 2020.
55. T. Anderson, "AI-driven compliance monitoring at Mastercard: A case study," Cybersecurity Practices in Financial Services, vol. 13, no. 3, pp. 67–78, 2021.
56. J. Cooper, "Ransomware playbooks and their role in resilience," Journal of Financial Incident Response, vol. 10, no. 2, pp. 56–67, 2020.
57. M. Carter, "Adopting ISO/IEC 27001 standards in financial cybersecurity," Journal of Data Security Standards, vol. 11, no. 1, pp. 89–97, 2019.
58. Walker, "FS-ISAC: A collaborative model for threat intelligence sharing," Journal of Financial Cyber Collaboration, vol. 7, no. 3, pp. 101–110, 2020.
59. L. Brown, "Lattice-based cryptography for quantum-resistant security," Journal of Advanced Cryptography, vol. 8, no. 4, pp. 121–129, 2021.
