This paper explores the significant role of big data and artificial intelligence (AI) in developing robust risk control models to safeguard user security in various domains. It delves into the integration of advanced data analytics techniques and AI algorithms to mitigate risks effectively, ensuring the protection of sensitive user information and enhancing overall security measures. The paper discusses key methodologies, challenges, and future prospects associated with the application of big data and AI in risk control models for user security.

Yongnian Cao, Yijie Weng, Meng Li, Xuechun Yang. The Application of Big Data and AI in Risk Control Models: Safeguarding User Security. International Journal of Frontiers in Engineering Technology (2024), Vol. 6, Issue 3: 154-164. https://doi.org/10.25236/IJFET.2024.060320.

[1] Zhenpeng Y. Application of Artificial Intelligence in Computer Network Technology in the Age of Big Data[J]. Journal of Artificial Intelligence Practice, 2024, 7(1).

[2] Qi W, Bangfeng Z, Yong L, et al. The Application of Big Data and Artificial Intelligence Technology in Enterprise Information Security Management and Risk Assessment[J]. Journal of Organizational and End User Computing (JOEUC), 2023, 35(1).

[3] F. H A, Ajmal M A, F. N F. Efficient NFS Model for Risk Estimation in a Risk-Based Access Control Model [J]. Sensors, 2022, 22(5).

[4] Leonidas A, Vasiliki K. Urban energy efficiency assessment models from an AI and big data perspective: Tools for policy makers[J]. Sustainable Cities and Society, 2022, 76.

[5] Mingjin L, Ruijie G, Wei F. Analysis of Internet Financial Risk Control Model Based on Machine Learning Algorithms[J]. Journal of Mathematics, 2021.

[6] Kuzlu M, Fair C, Guler O. Role of Artificial Intelligence in the Internet of Things (IoT) cybersecurity[J]. Discover Internet of Things, 2021, 1(1).

[7] Richard D, Peter V, Cameron F, et al. Levels of explainable artificial intelligence for human-aligned conversational explanations[J]. Artificial Intelligence, 2021, 299(prepublish).

[8] Jichao S, Tao L, Yong W, et al. Application of Big Data Analysis and Cloud Computing in Network Platform Building[J]. Journal of Physics: Conference Series, 2021, 2033(1).

[9] Gang Q, Guoqing L, Guilian X, et al. Computer Analysis and Smart Calculation of New Energy Operation Information by Big Data[J]. Journal of Physics: Conference Series, 2021, 2033(1).

[10] Jing Y. Big Data Privacy Protection Technology[J]. Journal of Physics: Conference Series, 2021, 2037(1).

[11] Yousheng Z. Personal Information Protection Based on Big Data[J]. Journal of Physics: Conference Series, 2021, 2037(1).

[12] Caiming Z, Yang L. Study on Artificial Intelligence: The State of the Art and Future Prospects[J]. Journal of Industrial Information Integration, 2021(prepublish).

[13] Fernando M, Emilia G, José H. Futures of artificial intelligence through technology readiness levels [J]. Telematics and Informatics, 2021, 58.

[14] Kumar R. Biases in Artificial Intelligence Applications Affecting Human Life: A Review[J]. International Journal of Recent Technology and Engineering (IJRTE), 2021, 10(1).

[15] Mamdooh A, Amal S. The use of artificial intelligence (AI) and Big-Data to improve energy consumption in existing buildings [J]. IOP Conference Series: Materials Science and Engineering, 2021, 1148(1).

[16] Hao C, Wenli L. Mobile device users’ privacy security assurance behavior: A technology threat avoidance perspective [J]. Information and Computer Security, 2017, 25(3).