This project, proposes a methodology for continuous implicit authentication of smartphones users, using the navigation data, in order to improve the security and ensure the privacy of sensitive personal data.
TrustLens — explainable & assured AI for Zero Trust continuous authentication. Verify the explanation itself: cross-method XAI consensus, adversarial explanation-robustness auditing & PSI concept-drift monitoring. SHAP/LIME/Anchor, STRIDE threat model, NIST SP 800-207, Streamlit dashboard. By Krishita Sanjay Choksi.
Software that blocks account hijacking attacks.
This repository includes the code for the published paper "CNN-Based Continuous Authentication of Smartphones Using Mobile Sensors." It features the model architecture, data collection, data preprocessing, and methods for feature extraction.
Context-aware fusion for multimodal biometrics
S3 platform code for results to Industry 4.0
An enterprise continuous authentication platform built around hybrid UEBA, with real-time event ingestion, behavioral anomaly scoring, explainable risk decisions, analyst workflows, and policy-driven identity responses.
SENTRY: A passive continuous authentication system using cognitive behavioural biometrics and Isolation Forest anomaly detection.
Zero-Trust continuous biometric authentication console verifying identity dynamically through keystroke dynamics and mouse kinematics, using a hybrid Isolation Forest and Exponential RBF similarity kernel.
Research code for SSPRA, a modality-agnostic continuous authentication framework using state-space temporal modeling and multimodal sensor fusion.
Agent IA d'authentification continue et adaptive pour systèmes bancaires — combinant Machine Learning (Random Forest) et scoring comportemental, avec API FastAPI, PostgreSQL et interface bancaire de démonstration (React). Projet de TER — Master 1 Informatique, Université Jean Monnet.
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