Hackathon Project: Enhancing Mobile Banking Security Through Behavioral Biometrics
Theme: Enhancing Mobile Banking Security Using Behavior-Based Continuous Authentication
Raksha revolutionizes mobile banking security by implementing continuous authentication through behavioral biometrics. Unlike traditional one-time authentication, our system continuously monitors and verifies user identity throughout the entire banking session, creating an invisible yet powerful security layer that adapts to each user's unique behavioral patterns.
- Single-Point Authentication: Traditional banking apps authenticate users only at login
- Session Hijacking Vulnerability: Once authenticated, sessions can be compromised
- Static Security: No adaptation to changing threat landscapes
- User Friction: Heavy security measures often compromise user experience
Raksha addresses these challenges by implementing a sophisticated behavior-based continuous authentication system that:
- Never Stops Monitoring: Continuously verifies user identity throughout the session
- Learns User Patterns: Creates unique behavioral profiles for each user
- Adapts in Real-Time: Responds to threats without disrupting legitimate users
- Invisible Protection: Provides maximum security with minimal user friction
Our system continuously captures and analyzes multiple behavioral dimensions:
- Pressure Patterns: How hard you press the screen
- Tap Duration: How long you hold touches
- Touch Area: Size of your finger contact with screen
- Swipe Velocity: Speed and acceleration of gestures
- Multi-touch Behavior: How you use multiple fingers
- Device Orientation: How you typically hold your phone
- Movement Patterns: Walking, sitting, or stationary usage
- Accelerometer Data: Device shake and movement intensity
- Gyroscope Patterns: Rotation and tilt behaviors
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Profile Building Phase
- Initial behavioral pattern learning during first few sessions
- Creates baseline behavioral profile unique to each user
- Establishes normal interaction patterns and preferences
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Continuous Monitoring Phase
- Real-time comparison of current behavior vs. established profile
- Risk score calculation for every action performed
- Adaptive threshold adjustment based on transaction sensitivity
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Response & Protection Phase
- Low Risk: Seamless banking experience continues
- Medium Risk: Additional verification prompts (PIN, OTP)
- High Risk: Session lockdown and fraud prevention measures
Our behavior analysis happens in real-time through a sophisticated cloud infrastructure:
- Data Collection: Behavioral data collected during app usage
- Feature Extraction: 25+ behavioral features processed per session
- ML Model Inference: Custom-trained models analyze behavior patterns
- Risk Scoring: Real-time confidence scores (0-100%) for each action
- Decision Engine: Automated responses based on risk thresholds
- Detects deviation from established behavioral patterns
- Identifies potential account takeover attempts
- Flags unusual transaction patterns or navigation behavior
- Dynamically adjusts security requirements based on risk
- Seamless experience for legitimate users
- Enhanced protection during suspicious activities
- Proactive blocking of suspicious transactions
- Real-time alerts for unusual behavioral patterns
- Automated account protection mechanisms
- ✅ Real-time Behavioral Data Collection: 25+ features captured continuously
- ✅ Cloud ML Integration: Live inference with <1 second response time
- ✅ Adaptive Risk Engine: Dynamic security adjustment based on behavior
- ✅ Comprehensive Banking App: Full-featured banking interface for testing
- ✅ User Behavior Dashboard: Visual insights into behavioral patterns
- First-of-its-kind: Continuous authentication in mobile banking context
- Zero-Friction Security: Protection that doesn't impact user experience
- Scalable Architecture: Cloud-based system ready for enterprise deployment
- Privacy-Preserving: Behavioral analysis without compromising personal data
- Live Risk Assessment: Watch risk scores change in real-time
- Behavioral Dashboard: Visual representation of your unique patterns
- Threat Simulation: Controlled testing of security responses
- Multi-User Profiles: Different behavioral patterns to explore
Our system extracts and analyzes over 25 unique behavioral features:
- Touch pressure variance and rhythm patterns
- Swipe velocity profiles and acceleration curves
- Device orientation stability and movement signatures
- Navigation flow patterns and screen interaction timings
- Transaction behavioral signatures and amount patterns
- Ensemble Models: Multiple ML algorithms for robust predictions
- Online Learning: Models that adapt to changing user behavior
- Anomaly Detection: Unsupervised learning for threat identification
- Risk Scoring: Probabilistic models for confidence assessment
- Local Feature Extraction: Sensitive processing on device
- Encrypted Transmission: Secure data transfer to cloud
- Minimal Data Collection: Only necessary behavioral patterns stored
- User Control: Transparency and control over behavioral data
- Enterprise Banking: Large-scale deployment for financial institutions
- Multi-Modal Authentication: Integration with voice and facial biometrics
- Cross-Platform Security: Extension to web and desktop banking
- Industry Standards: Contribution to behavioral biometrics standards
- Launch Raksha: Experience the modern banking interface
- Choose Demo Profile: Select from 5 different user scenarios
- Explore Features: Use banking features while monitoring behavioral data
- View Dashboard: Access real-time behavioral insights and risk scores
- Test Security: Try different usage patterns to see system responses
- Live Risk Assessment: Watch risk scores change in real-time
- Behavioral Dashboard: Visual representation of your unique patterns
- Threat Simulation: Controlled testing of security responses
- Multi-User Profiles: Different behavioral patterns to explore
- Real-Time Risk Monitoring: Watch your behavioral risk score change as you use the app
- Threat Detection Simulation: See how the system responds to suspicious activities
- Behavioral Pattern Visualization: Understand your unique digital fingerprint
- Security Response Testing: Experience adaptive authentication in controlled scenarios
Our hackathon solution prioritizes user privacy while delivering maximum security:
- Local Processing: Sensitive behavioral data processed on-device
- Encrypted Transmission: Secure cloud communication with end-to-end encryption
- Minimal Data Storage: Only essential behavioral patterns stored for analysis
- User Transparency: Clear visibility into what data is collected and how it's used
- Privacy by Design: Built with privacy considerations from the ground up
Raksha demonstrates how behavior-based continuous authentication can transform mobile banking security. Our hackathon submission showcases:
✅ Real-time behavioral biometrics with sub-second processing
✅ Continuous authentication throughout the entire banking session
✅ Adaptive security responses that scale with detected risk levels
✅ Privacy-preserving design that protects user data while enhancing security
✅ Enterprise-ready architecture suitable for production deployment
This project represents the next evolution in mobile banking security - where your behavior becomes your strongest defense against fraud.
Hackathon Theme: Enhancing Mobile Banking Security Using Behavior-Based Continuous Authentication
Submitted by: Team Raksha