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  • Deep Learning
  • Cybersecurity

Behavioral Biometric Continuous Authentication System

A continuous authentication system that verifies user identity throughout a session, not just at login.

Overview

Keystroke timing and mouse movement patterns are captured as a behavioural fingerprint. An LSTM learns each user's normal rhythm and flags deviations in real time, triggering OTP re-verification when the person at the keyboard stops behaving like the account owner.

Problem Statement

Authentication happens once, at login, and is then trusted for the whole session. If a session is hijacked or a machine is left unlocked, the system has no way to notice that the user changed.

Proposed Solution

Treat identity as something verified continuously rather than once: model the user's typing and mouse behaviour, and challenge with OTP the moment live behaviour diverges from the learned profile.

Key Features

  • Keystroke & Mouse Dynamics Analysis

    Captures unique typing and mouse-usage patterns.

  • LSTM-Based Anomaly Detection

    Learns behavioral patterns to flag suspicious activity in real time.

  • OTP Fallback Verification

    Triggers OTP confirmation when anomalous behavior is detected.

  • Flask Backend & Web Frontend

    Manages authentication, sessions, and monitoring.

Technologies Used

Deep Learning

  • LSTM
  • TensorFlow / Keras
  • Anomaly detection

Capture

  • JavaScript event listeners
  • Keystroke timing
  • Mouse telemetry

Application

  • Flask
  • SQLite
  • OTP / email service

Project Workflow

  1. 1

    Enrolment

    The user's baseline typing and mouse behaviour is recorded.

  2. 2

    Model training

    An LSTM learns the individual behavioural profile.

  3. 3

    Live monitoring

    Session behaviour is scored continuously against the profile.

  4. 4

    Challenge

    Anomalous behaviour triggers OTP re-verification.

What You'll Receive

  • Complete, runnable source code with folder structure
  • Project report and technical documentation
  • Ready-to-present PPT content
  • Setup and installation walkthrough
  • Line-by-line project explanation session
  • Viva question bank with answers
  • Bug fixing and troubleshooting help
  • Post-delivery support after submission

Frequently Asked Questions

How much does this project cost?

Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.

Can the project be customised to my college requirements?

Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.

Will I be able to explain this project during my viva?

That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.

What if the project does not run on my laptop?

We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.

Do I get support after submission?

Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.

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