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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52498

AuthAi: Real-Time Behavioral AI for CAPTCHA-Free Security

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52498

Volume:

9 |

9 |

Sep 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM52498

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PR

Piyush Raj

PK

Priyanshu Kumar

NKT

Nikhil Kumar Tiwari

DD

Divyanshu Dwivedi

SK

Sandeep Kaur

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Abstract

AuthAI is a marked improvement over traditional, more static methods of authentication (like CAPTCHA – which many may agree is more of a hindrance than a measure of assurance) that typically try to use ”prove you’re not a robot” rituals. Instead, AuthAI uses a continuous behavioral authentica- tion strategy. To help implement this system, researchers designed a complex combination of models, where Transformers provide the most accurate scoring, and XGBoost and Autoencoders to support anomaly detection and provide resilience. Built-in adversarial simulations can help guard against mimicry attempts, and adaptive feedback will allow the framework to learn from misclassifications, and further refine its defense over time.There is an analytics dashboard, which also improves transparency by informing the user Key Features and Confidence levels – something useful for researchers and practitioners alike! The technology is still very limited, at this point, in terms of the relatively small and narrow dataset used to train it. But, the team already has plans for the future – richer, multimodal signals; the data set size increased; federated learning; the inclusion of large language models to increase explainability.

KEYWORDS

Authentication Bot Detection Behavioral Bio- metrics Keystroke Dynamics Mouse Movements Click Rates Navigation Patterns Error Frequency Multi-Model Ensem- ble Transformer LSTM Autoencoder Random Forest XG- Boost Isolation Forest Adversarial Simulation Adaptive Feed- back Loops Anomaly Detection Explainability Analytics Dash- board Scalability Robustness Continuous Authentication User- Friendly Federated Learning Multimodal Signals.

Cite This Article

Piyush Raj, Priyanshu Kumar, Nikhil Kumar Tiwari, Divyanshu Dwivedi, Sandeep Kaur, "AuthAi: Real-Time Behavioral AI for CAPTCHA-Free Security," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 9, Sep 2025. https://doi.org/10.55041/IJSREM52498

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Publication Date

8/8/2025

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Double-Blind Peer Review

Review Rounds: 2

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