Capstone
Cybersecurity
Network Intrusion Detection System
Machine-learning anomaly detection over live network traffic
- Python
- Scapy
- XGBoost
- Kafka
- +2
₹5,499₹9,499
4.9/97 reviews
Cybersecurity · Mini Project
Graphical Password Authentication
Click-point and image-sequence login that resists shoulder surfing
1-2 weeks build
Overview
An authentication scheme where the secret is a sequence of click points on an image or an ordered set of images, not a typed string. Tolerance regions absorb small pointing errors, decoy grids make watching a login harder to reproduce, and only salted hashes of the chosen points are stored, never the raw coordinates.
What makes it stand up
- 01Cued click-point and image-sequence schemes in one app
- 02Tolerance regions that forgive small pointing errors
- 03Decoy layouts that make shoulder surfing less useful
- 04Only salted hashes of the secret are stored on the server
- 05Usability study comparing recall and login time in the report
Module breakdown
- 01
Enrolment
Guides the user through choosing and confirming their points.
- 02
Matching
Verifies clicks against stored regions with a tolerance radius.
- 03
Hardening
Adds decoys and shuffles layout to resist observation.
- 04
Storage
Salts and hashes the secret so raw points never persist.
- 05
Study
Measures memorability and speed against text passwords.
After this, you will be able to
- Explain how graphical secrets trade off recall and security
- Defend the tolerance and anti-observation design choices
- Demo enrolment and login for both scheme variants
Technology stack
- React
- TypeScript
- Node.js
- PostgreSQL
- WebCrypto
- Level
- Mini Project
- Domain
- Cybersecurity
- Build time
- 1-2 weeks
- Difficulty
You receive
- Complete, commented source code
- 60-90 page project report (IEEE format)
- Editable presentation deck
- Architecture, ER and UML diagrams
- Local setup and deployment guide
- Sample dataset or seed data
- Viva question bank with answers
- One 45-minute walkthrough call
- 30 days of doubt-clearing support