International Journal of Neural Network, 2026, 5(1); doi: 10.38007/NN.2026.050112.
Zhaoning Zhang
Zhaoning Zhang
School of Computer Science, College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA
Telemetry data; abnormal user behavior; consumer finance risk control; keystroke dynamics; synthetic benchmark
Zhaoning Zhang, User Behavior Anomaly Identification Integrating Telemetry Data and Its Application in Consumer Finance Risk Control. International Journal of Neural Network (2026), Vol. 5, Issue 1: 108-118. https://doi.org/10.38007/NN.2026.050112.
[1] Cherif A, Badhib A, Ammar H, Alshehri S, Kalkatawi M, Imine A. Credit card fraud detection in the era of disruptive technologies: A systematic review[J]. Journal of King Saud University - Computer and Information Sciences, 2023, 35(1):145-174.
[2] Btoush EALM, Zhou X, Gururajan R, Chan KC, Genrich R, Sankaran P. A systematic review of literature on credit card cyber fraud detection using machine and deep learning[J]. PeerJ Computer Science, 2023, 9:e1278.
[3] Zhu, P. (2025, December). Construction of Multi-Scale Biostatistical Analysis Framework and its Application in Biomedical Signal Feature Recognition and Classification. In 2025 5th International Conference on Mobile Networks and Wireless Communications (ICMNWC) (pp. 1-7). IEEE.
[4] Gao, Y. (2026). Research on the Design of Governance Structure for Private Equity Funds and the balance of GP and LP Rights.
[5] Chang, C. W. (2026). Privacy Infrastructure Vulnerability Mining and Automated Framework Based on Multimodal AI. Procedia Computer Science, 279, 702-711.
[6] Chen, M. (2026). Real-Time Compliance Monitoring Engine Based on eBPF: Privacy-Enabled Data Tracking for Edge Computing. Procedia Computer Science, 281, 216-225.
[7] Wang, Y. (2026). Construction of Supply Chain Demand Forecasting Algorithm Based On Time Series Data Analysis and Improvement of Its Management Efficiency. Procedia Computer Science, 281, 484-493.
[8] Yu, X. (2026). Application of Time Series Data Analysis Algorithm Combined with Attention Mechanism in Growth Marketing User Lifetime Value Prediction. Procedia Computer Science, 281, 57-64.
[9] Wang, Z. (2026). Mineral Commodity Time-Series Cycle Modeling and Feature Learning Algorithm Based On Improved Transformer. Procedia Computer Science, 281, 1347-1356.
[10] Wang, Z. (2026). Relationship between Supply–Demand Structures of Base Metals and the Evolution of Corporate Value.
[11] Chen, J. (2026). Construction of a Cloud-Native High-Performance Service Engineering System for Real-Time Decision-Making Platforms.
[12] Chen, J. (2026). Elastic Scaling and Stability Assurance Mechanisms for Distributed Systems under High-Throughput Scenarios.
[13] Qian, X. (2026). Supply Chain Collaboration Mechanisms Driven by Demand Orchestration in Omni-Channel Retail Environments.
[14] Wu, Y. (2025). Software Engineering Practice of Microservice Architecture in Full Stack Development: From Architecture Design to Performance Optimization. Machine Learning Theory and Practice, 5(1), 64-75.
[15] Wu, Y. (2025). Optimization of Generative AI Intelligent Interaction System Based on Adversarial Attack Defense and Content Controllable Generation.
[16] Chen, M. (2025). Research on Automated Risk Detection Methods in Machine Learning Integrating Privacy Computing.
[17] Sun, J. (2025). Quantile Regression Study on the Impact of Investor Sentiment on Financial Credit from the Perspective of Behavioral Finance.
[18] Wang, Y. (2025). Application of Data Completion and Full Lifecycle Cost Optimization Integrating Artificial Intelligence in Supply Chain.
[19] Wu, Y. (2025). Software Engineering Practice of Microservice Architecture in Full Stack Development: From Architecture Design to Performance Optimization. Machine Learning Theory and Practice, 5(1), 64-75.
[20] Su, J. (2026). Research on Android Real-time Communication System Architecture and High-reliability Assurance Pathways Integrating AI-based Anomaly Detection Mechanisms. Engineering Advances, 6(2).
[21] Liang, Q. (2026). Research on the Renovation Design Path for Enhancing the Efficiency of Mixed-Use Office and Retail Spaces. European Journal of AI, Computing & Informatics, 2(2), 163-170.
[22] Wang, N. (2026). Research on Evaluation and Optimization Models of Enterprise Resource Allocation Efficiency from a Data-driven Perspective. Advances in Computer and Communication, 7(1).
[23] Gao, Y. (2026). Application of Delaware Corporate Law in Cross-Border M&A: Business Structures, Contractual Risk, and Case-Based Lessons. Economics and Management Innovation, 3(2), 128-136.
[24] Huang, J. (2026). From Policy Authorization to Practical Execution: A Decision-Support Framework for Implementing Housing Supply Strategies in the United States. Strategic Management Insights, 3(1), 24-31.
[25] Gao, Y. (2026). The Role and Practice of Delaware Law in Global Cross-border M&A Transactions. International Journal of Law, Policy & Society, 2(1), 38-46.
[26] Liang, Q. (2026). Reconstruction of Commercial Building Space Reuse Mode Driven by Composite Business Types. International Journal of Engineering Advances, 3(1), 107-113.
[27] Zhang, K. (2025, December). Research on Cross-Selling Precision Marketing Strategy Based On Xgboost Model and SHAP Explanatory Framework. In 2025 IEEE 1st International Conference on Recent Trends in Computing and Smart Mobility (RCSM) (pp. 1-7). IEEE.
[28] Liang, Q. (2026). How Architectural Design and Utility Infrastructure Impacts AI Supporting Campus and Drive Future Innovation, Operational Efficiency and Sustainable Advancement in Utility-Critical Environment. European Journal of Engineering and Technologies, 2(2), 71-77.
[29] Zhang, Q. (2025, July). Research on Improving the Effectiveness of Programmatic Advertising Using Multi-armed Bandit Algorithms. In International Conference on Frontier Computing (pp. 543-552). Singapore: Springer Nature Singapore.
[30] Wang, Y. (2025, July). Research on Federated Learning Algorithm Design and Privacy Protection Mechanism of Sports Rehabilitation Data Based on Multimodal Fusion. In International Conference on Frontier Computing (pp. 563-574). Singapore: Springer Nature Singapore.