Journal of Advances in Developmental Research

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Volume 17 Issue 1
2026

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AI-Based Multimodal Anti-Spoof Identity Verification using Behavioral Biometrics

Author(s) Vinay Kumar Mishra, Dr. Upendra Kumar Srivastava
Country India
Abstract Abstract
Identity verification systems are increasingly vulnerable to sophisticated spoofing attacks, including presentation attacks, deepfakes, and replay-based intrusions. Traditional unimodal biometric authentication methods often fail to provide robust protection against such threats. This research proposes an AI-driven multimodal anti-spoofing framework that integrates behavioral biometrics—such as keystroke dynamics, mouse movement patterns, and touch gestures—with conventional physiological modalities like facial recognition and voice analysis. By leveraging deep learning architectures and multimodal fusion strategies, the system dynamically analyzes cross-domain features to detect anomalies indicative of spoofing attempts. The proposed model employs feature-level and decision-level fusion to enhance resilience, while adversarial training ensures robustness against evolving attack vectors. Experimental evaluation on benchmark datasets demonstrates that the multimodal approach significantly outperforms unimodal systems, achieving higher accuracy, lower false acceptance rates, and improved generalization across diverse spoofing scenarios. This work highlights the potential of behavioral biometrics as a complementary layer of defense, paving the way for secure, privacy-preserving, and user-friendly identity verification in critical applications such as banking, healthcare, and e-governance.
Keywords Multimodal Biometrics , Anti-Spoofing, Behavioral Biometrics, Deep Learning, Identity Verification
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 17, Issue 1, January-June 2026
Published On 2026-03-30
Cite This AI-Based Multimodal Anti-Spoof Identity Verification using Behavioral Biometrics - Vinay Kumar Mishra, Dr. Upendra Kumar Srivastava - IJAIDR Volume 17, Issue 1, January-June 2026.
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