Applications of Artificial Intelligence Generative Adversarial Techniques in the Financial Sector
DOI:
https://doi.org/10.5281/zenodo.11186433References:
33Keywords:
Artificial Intelligence, The Financial Sector, Generate Adversarial Network, Identity AuthenticationAbstract
This paper explores the application of artificial intelligence (AI) techniques in the financial sector, with a particular focus on the role of generative Adversarial networks (GANs) in defending against automated attacks in the financial sector. AI technology is regarded as the fundamental technology of the fourth Industrial revolution, and its applications cover robotics, speech recognition, image recognition, natural language processing and other fields. In the financial sector, AI technology has improved business efficiency and accuracy by developing terminal programs with business operation skills that partially or completely replace manual labor. A generative adversarial network is a system of generators and discriminators that generate realistic fake data to help financial institutions identify fraud. Therefore, it is suggested that websites should not only abandon the traditional verification code, but also find other more secure verification methods, and consider introducing a verification system with the ability to generate counter-network to improve the accuracy and security of authentication.
Downloads
Metrics
References
He, Z., Shen, X., Zhou, Y., & Wang, Y. Application of K-means clustering based on artificial intelligence in gene statistics of biological information engineering.
Li, Xuanyi, et al. "REVISED SENTENCE DEVELOPING MACHINE LEARNING APPLICATIONS WITH A FOCUS ON USER EXPERIENCE, INSPIRED BY APPLE'S HUMAN." The 12th International scientific and practical conference “Modern thoughts on the development of science: ideas, technologies and theories”(March 26–29, 2024) Amsterdam, Netherlands. International Science Group. 2024. 336 p.. 2024.
Lei, H., Wang, B., Shui, Z., Yang, P., & Liang, P. (2024). Automated Lane Change Behavior Prediction and Environmental Perception Based on SLAM Technology. arXiv preprint arXiv:2404.04492.
Cui, Z., Lin, L., Zong, Y., Chen, Y., & Wang, S. Precision Gene Editing Using Deep Learning: A Case Study of the CRISPR-Cas9 Editor.
Li, H., Wang, X., Feng, Y., Qi, Y., & Tian, J. (2024). Driving Intelligent IoT Monitoring and Control through Cloud Computing and Machine Learning. arXiv preprint arXiv:2403.18100.
Ni, Chunhe, et al. "Enhancing Cloud-Based Large Language Model Processing with Elasticsearch and Transformer Models." arXiv preprint arXiv:2403.00807 (2024).
Xu, J., Zhu, B., Jiang, W., Cheng, Q., & Zheng, H. (2024, April). AI-BASED RISK PREDICTION AND MONITORING IN FINANCIAL FUTURES AND SECURITIES MARKETS. In The 13th International scientific and practical conference “Information and innovative technologies in the development of society”(April 02–05, 2024) Athens, Greece. International Science Group. 2024. 321 p. (p. 222).
Xu, Z., Yuan, J., Yu, L., Wang, G., & Zhu, M. (2024). Machine Learning-Based Traffic Flow Prediction and Intelligent Traffic Management. International Journal of Computer Science and Information Technology, 2(1), 18-27.
Lin, Luqi, et al. "AI-driven Protein Engineering for DNA Sequence Modification." Journal of Theory and Practice of Engineering Science 4.03 (2024): 183-190.
Cai, Guoqing, et al. "Deep Learning-Based Recognition and Visualization of Human Motion Behavior." Academic Journal of Science and Technology 10.1 (2024): 50-55.
Zheng, Haotian, et al. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis." Academic Journal of Science and Technology 10.1 (2024): 62-68.
Wang, Hongbo, et al. "Intelligent Security Detection and Defense in Operating Systems Based on Deep Learning." International Journal of Computer Science and Information Technology 2.1 (2024): 359-367.
Huang, Zengyi, et al. "Research on Generative Artificial Intelligence for Virtual Financial Robo-Advisor." Academic Journal of Science and Technology 10.1 (2024): 74-80.
Zhang, Y., Liu, B., Gong, Y., Huang, J., Xu, J., & Wan, W. (2024). Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management. arXiv preprint arXiv:2402.17216.
Zhou, Tong, et al. "Image retrieve for dolphins and whales based on EfficientNet network." Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023). Vol. 12800. SPIE, 2023.
Gong, Y., Huang, J., Liu, B., Xu, J., Wu, B., & Zhang, Y. (2024). Dynamic Resource Allocation for Virtual Machine Migration Optimization using Machine Learning. arXiv preprint arXiv:2403.13619.
Rosner, B., Tamimi, R. M., Kraft, P., Gao, C., Mu, Y., Scott, C., ... & Colditz, G. A. (2021). Simplified breast risk tool integrating questionnaire risk factors, mammographic density, and polygenic risk score: development and validation. Cancer Epidemiology, Biomarkers & Prevention, 30(4), 600-607.
Huang, C., Bandyopadhyay, A., Fan, W., Miller, A., & Gilbertson-White, S. (2023). Mental toll on working women during the COVID-19 pandemic: An exploratory study using Reddit data. PloS one, 18(1), e0280049.
Xu, Jinxin, et al. "Predict and Optimize Financial Services Risk Using AI-driven Technology." Academic Journal of Science and Technology 10.1 (2024): 299-304.
Biology-based AI Predicts T-cell Receptor Antigen Binding Specificity. (2024). Academic Journal of Science and Technology, 10(1), 23-27. https://doi.org/10.54097/wy28c490
Wu, Binbin, et al. "Enterprise Digital Intelligent Remote Control System Based on Industrial Internet of Things." (2024).
Pan, Y., Wu, B., Zheng, H., Zong, Y., & Wang, C. (2024, March). THE APPLICATION OF SOCIAL MEDIA SENTIMENT ANALYSIS BASED ON NATURAL LANGUAGE PROCESSING TO CHARITY. In The 11th International scientific and practical conference “Advanced technologies for the implementation of educational initiatives”(March 19–22, 2024) Boston, USA. International Science Group. 2024. 254 p. (p. 216).
Li, X., Zheng, H., Chen, J., Zong, Y., & Yu, L. (2024). User Interaction Interface Design and Innovation Based on Artificial Intelligence Technology. Journal of Theory and Practice of Engineering Science, 4(03), 1-8.
Li, L., Xu, K., Zhou, H., & Wang, Y. (2024). Independent Grouped Information Expert Model: A Personalized Recommendation Algorithm Based on Deep Learning.
Xu, J., Wu, B., Huang, J., Gong, Y., Zhang, Y., & Liu, B. (2024). Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis. arXiv preprint arXiv:2403.17549.
Chen, P., Lam, K. H., Liu, Z., Mindlin, F. A., Chen, B., Gutierrez, C. B., ... & Jin, R. (2019). Structure of the full-length Clostridium difficile toxin B. Nature structural & molecular biology, 26(8), 712-719.
Zheng, Haotian, et al. "Medication Recommendation System Based on Natural Language Processing for Patient Emotion Analysis." Academic Journal of Science and Technology 10.1 (2024): 62-68.
Zhang, X., Wang, C., Chen, B., Wang, Q., Xu, W., Ye, S., ... & Zhang, R. (2019). Crystal structure of refolding fusion core of Lassa virus GP2 and design of Lassa virus fusion inhibitors. Frontiers in microbiology, 10, 1829.
Li, Lianwei, et al. "Independent Grouped Information Expert Model: A Personalized Recommendation Algorithm Based on Deep Learning." (2024).
Ding, W., Zhou, H., Tan, H., Li, Z., & Fan, C. (2024). Automated Compatibility Testing Method for Distributed Software Systems in Cloud Computing.
Xu, X., Niu, H., Ji, H., Li, H., & Wang, J. (2024). AI Empowered of Advancements in Microbial and Tumor Cell Image Labeling for Enhanced Medical Insights. Journal of Theory and Practice of Engineering Science, 4(03), 21-27.
Wang, Y., Zhan, X., Zhan, T., Xu, J., & Bai, X. (2024). Machine Learning-Based Facial Recognition for Financial Fraud Prevention. Journal of Computer Technology and Applied Mathematics, 1(1), 77-84.
Qi, Y., Feng, Y., Tian, J., Wang, X., & Li, H. (2024). Application of AI-based Data Analysis and Processing Technology in Process Industry. Journal of Computer Technology and Applied Mathematics, 1(1), 54-62.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Academic Journal of Sociology and Management

This work is licensed under a Creative Commons Attribution 4.0 International License.