AI-Based Decision Support Systems for Secure Multi-Cloud Financial Data Processing
Keywords:
AI-based decision support systems, multi-cloud environments, financial data processingAbstract
The rapid adoption of multi-cloud environments for financial data processing has prompted an increased focus on security and decision support systems (DSS) that can handle the complexities of such architectures. Artificial intelligence (AI)-based decision support systems have shown promise in enhancing security measures, enabling financial institutions to manage large volumes of sensitive data securely and efficiently. This paper explores the application of AI-driven DSS for secure multi-cloud financial data processing, focusing on how AI can enhance data security, risk management, and decision-making in multi-cloud setups. We examine the key challenges in multi-cloud environments, such as data integrity, privacy concerns, and the complexities of managing heterogeneous cloud platforms. Additionally, the paper discusses various AI techniques, including machine learning (ML) and natural language processing (NLP), that are used to strengthen security protocols, automate compliance checks, and improve financial decision-making. Finally, we analyze real-world applications and case studies of AI-based DSS in financial sectors, highlighting their effectiveness in ensuring secure and efficient data processing. The paper concludes with an outlook on the future of AI in multi-cloud financial data processing, emphasizing the need for continued innovation to address emerging security challenges.
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References
Smith, J., et al. (2021). Enhancing multi-cloud financial data security with AI-based decision support systems. Journal of Cloud Computing and Security, 9(4), 78-93.
Lee, K., et al. (2020). Machine learning for fraud detection in multi-cloud environments. IEEE Transactions on Financial Technology, 8(2), 142-156.
Zhao, L., et al. (2020). Natural language processing for regulatory compliance automation in financial institutions. Financial Technology Review, 14(3), 58-71.
Hernandez, S., et al. (2021). Predictive analytics in AI-driven decision support systems for financial data processing. Journal of Financial Data Science, 12(1), 92-104.
Ali, Syed Afraz. "Designing Secure and Robust E-Commerce Plaform for Public Cloud." The Asian Bulletin of Big Data Management 3.1 (2023): 164-189.
Chen, M., et al. (2020). Overcoming integration challenges in multi-cloud financial data processing. International Journal of Cloud Computing, 11(4), 120-134.
Harrison, P., & Green, T. (2020). Privacy considerations in multi-cloud AI applications for financial data. Journal of Data Privacy and Security, 16(2), 45-58.
Yang, H., et al. (2021). Adversarial machine learning threats in financial decision support systems. AI Security and Trust Journal, 7(3), 134-145.
Brown, A., & Patel, R. (2020). Real-time fraud detection using AI in multi-cloud financial systems. Journal of Financial Security, 8(1), 23-35.
Nguyen, T., et al. (2021). Automating compliance in financial institutions with natural language processing. Financial Technology Automation, 6(4), 108-121.
Singh, R., et al. (2020). Securing multi-cloud architectures for financial data processing. Cloud Security Review, 15(2), 50-63.
Kumar, V., et al. (2021). AI-based systems for efficient risk management in multi-cloud environments. Financial Risk Journal, 19(1), 76-89.
Zhang, J., et al. (2020). Machine learning techniques for cloud security in financial data processing. Journal of Cloud and Cybersecurity, 13(4), 102-116.
Lee, Y., et al. (2020). Blockchain and AI integration for secure financial data processing. Blockchain and Financial Technology, 4(1), 34-47.
Li, W., et al. (2020). Exploring multi-cloud strategies for financial data security. Journal of Cloud Security, 10(3), 62-75.
Chen, S., et al. (2020). Data privacy issues in AI-driven multi-cloud financial systems. Data Privacy and AI Security Journal, 5(2), 88-101.
Patel, S., et al. (2020). Machine learning for financial fraud detection in multi-cloud environments. AI and Financial Security Review, 7(3), 98-112.
Martinez, J., et al. (2021). Advanced AI techniques for cloud-based financial decision support. Cloud Technology Review, 8(2), 56-69.
Wang, Y., et al. (2021). Natural language processing for financial data analysis in multi-cloud systems. Financial AI Journal, 6(1), 112-125.
Liu, J., et al. (2021). Cloud computing for secure multi-cloud financial data processing. Journal of Cloud Computing and Security, 14(2), 34-48.
Zhang, L., et al. (2020). Advanced decision support systems for cloud-based financial data processing. Cloud and Financial Systems Review, 9(4), 102-115.
