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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM52498
Volume:
9 |
9 |
Sep 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
8/8/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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