Assessfy Pvt. Ltd Moderate 4 milestones 50 marks

Secure Persona Prediction and Data Leakage Prevention System using Python

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project

Secure Persona Prediction and Data Leakage Prevention System using Python

Objective: Create a secure system for predicting user personas while preventing sensitive data leakage.

Context: With rising cyber threats and data breaches in India, protecting user privacy during behavioral analytics is critical for trust and compliance. Secure persona prediction helps organizations personalize services without compromising data security.

What you'll build: You'll design a secure data flow, implement persona prediction models with Python ML libraries, and integrate encryption protocols using pyCryptodome. The system will undergo security validation to ensure robust data protection throughout the process.

Deliverables: Secure prediction system with encrypted data handling and validation documentation.

Milestones

1. Design data flow securely

10 marks 7d

Draw a detailed data flow diagram showing how user data moves through your system, clearly marking points where data is collected, processed, stored, and accessed. Annotate each step with the specific security controls you will implement (e.g., access restrictions, anonymization). Submit the diagram and a brief explanation of how your design minimizes data leakage risks.

2. Persona prediction model

10 marks 7d

Develop a Python-based persona prediction model using a provided or sourced dataset. Train, validate, and test your model, then submit the code, a summary of your feature selection process, and a report with accuracy metrics. Ensure your submission includes sample input/output demonstrating the model's persona prediction capability.

3. Integrate encryption protocols

15 marks 7d

Integrate encryption protocols into your data handling pipeline to protect sensitive information both at rest and in transit. Submit your updated codebase with clear comments indicating where and how encryption is applied. Include a short document explaining your encryption choices and how they address potential data leakage vectors.

4. Security validation

15 marks 9d

Conduct a security validation of your system by performing tests such as simulated data breaches, unauthorized access attempts, and encryption integrity checks. Submit a report detailing your test procedures, results, and any vulnerabilities found. Clearly state how your system resists data leakage and meets security requirements.

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Upcoming sessions

Session	Window	Enrolled
Secure Persona Prediction and Data Leakage Prevention Sys...	11 Jun 2026 to 10 Jun 2028	0

Skills you'll learn

Behavioral analyticsCybersecurity basicsPython encryption libraries

Tools used

Python pyCryptodome ML libraries

Prerequisites

Data privacy concepts Anomaly detection

Available mentors

Priyang Kumar

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