Authentication that
thinks like you do
A behavioural authentication system combining gesture input, representation-level drift detection, and adaptive trust control for continuous identity verification.
Problem
Authentication systems are static — once verified, users are trusted indefinitely. This makes them vulnerable to session hijacking, replay attacks, and behavioural anomalies.
Solution
SecuADR introduces continuous authentication by monitoring behavioural patterns such as gesture dynamics. Using RLFS and S-ADR, the system dynamically evaluates trust instead of relying on a single login event.
System Architecture
INPUT
Gesture Signal
User interaction patterns
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REPRESENTATION
RLFS Layer
Detects behavioural drift
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CONTROL
S-ADR Engine
Adaptive trust response
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OUTPUT
Auth Decision
Allow, degrade, or reject
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Why this matters
Security systems should adapt to user behaviour in real time. SecuADR shifts authentication from a binary gate into a continuous, intelligent process.
Key Features
Build Journey
Idea
Rethought authentication as continuous process
Prototype
Built gesture-based login system
AI Layer
Integrated RLFS + S-ADR
System Design
Expanded into full auth framework
Tech Stack
Related Systems
hidden layer
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