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Cybersecurity projects for final year

Security projects impress because they sit where networking, cryptography and machine learning meet. They are also where hand-waving gets caught quickly, since an examiner can ask exactly which attack you detect, how you measured false positives, or why you chose AES over RSA for a given step.

Kits listed
21
From
₹2,999
Delivery
< 48 hrs
Support
30 days

Ready to build

Cybersecurity projects

Mini Project

Cybersecurity

Phishing URL Detection

Classify malicious links from their structure, not a blocklist

  • Python
  • scikit-learn
  • Flask
  • Pandas
₹2,999₹4,299
4.6/284 reviews
Major Project

Cybersecurity

Encrypted Storage and Steganography

Client-side AES encryption with hidden-payload image transport

  • Python
  • Django
  • AES-256
  • Steganography
  • +1
₹3,599₹6,299
4.6/109 reviews
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
Major Project

Cybersecurity

Image Forgery Detection

Flags spliced and copy-move edits using error level analysis and a CNN

  • Python
  • TensorFlow
  • OpenCV
  • Flask
  • +1
₹7,499₹12,699
Major Project

Cybersecurity

Cyberbullying Detection

Classifies abusive messages and queues them for human moderation

  • Python
  • scikit-learn
  • PyTorch
  • FastAPI
  • +1
₹6,599₹11,199
Major Project

Cybersecurity

User Identification from Mouse & Keystroke Dynamics

Behavioural biometrics that keep checking who is at the keyboard

  • Python
  • scikit-learn
  • Pandas
  • Flask
  • +1
₹7,499₹12,699
Capstone

Cybersecurity

Zero-Knowledge Password Manager

Vault encrypted in the browser, synced as ciphertext, with autofill

  • TypeScript
  • React
  • Node.js
  • PostgreSQL
  • +2
₹9,499₹16,299
Major Project

Cybersecurity

Malware Detection with Machine Learning

Classifies Windows executables as benign or malicious from static features

  • Python
  • LightGBM
  • scikit-learn
  • Pandas
  • +1
₹7,299₹12,499
Major Project

Cybersecurity

SQL Injection Detection

Classifies query payloads and blocks malicious ones in web middleware

  • Python
  • scikit-learn
  • Flask
  • PostgreSQL
  • +1
₹6,499₹10,999
Major Project

Cybersecurity

Web Vulnerability Scanner

Crawls a lab web app and reports common web weaknesses

  • Python
  • Requests
  • BeautifulSoup
  • Flask
  • +2
₹7,699₹13,199
Major Project

Cybersecurity

Honeypot with Attack Analytics

Fake SSH and HTTP services that log and map attacker behaviour

  • Python
  • Docker
  • MongoDB
  • FastAPI
  • +1
₹7,499₹12,799
Mini Project

Cybersecurity

Two-Factor Authentication Service with TOTP

TOTP enrolment via QR, backup codes and rate-limited verification

  • Node.js
  • TypeScript
  • React
  • PostgreSQL
  • +1
₹5,499₹9,299
Major Project

Cybersecurity

End-to-End Encrypted File Sharing

Encrypt files in the browser, share expiring links, log every access

  • TypeScript
  • React
  • Node.js
  • PostgreSQL
  • +1
₹7,199₹12,299
Capstone

Cybersecurity

DDoS Detection in Software-Defined Networks

Ryu controller that classifies flows and installs mitigation rules

  • Python
  • Mininet
  • Ryu
  • scikit-learn
  • +1
₹9,299₹15,899
Major Project

Cybersecurity

Android Malware Detection from Permissions

Flags risky APKs from their requested permissions and API calls

  • Python
  • scikit-learn
  • Androguard
  • Pandas
  • +1
₹6,799₹11,599
Capstone

Cybersecurity

Mini SIEM: Log Collection & Anomaly Alerts

Ingests syslog and auth logs, correlates events and alerts on anomalies

  • Python
  • FastAPI
  • Elasticsearch
  • scikit-learn
  • +1
₹8,999₹15,299
Mini Project

Cybersecurity

Graphical Password Authentication

Click-point and image-sequence login that resists shoulder surfing

  • React
  • TypeScript
  • Node.js
  • PostgreSQL
  • +1
₹5,099₹8,499
Capstone

Cybersecurity

Deepfake Video Detection

Frame CNN plus a temporal model that flags manipulated faces

  • Python
  • PyTorch
  • OpenCV
  • MediaPipe
  • +1
₹9,799₹16,699
Major Project

Cybersecurity

Phishing Email Detection with NLP

Classifies emails as phishing from their body text and headers

  • Python
  • scikit-learn
  • spaCy
  • Pandas
  • +1
₹6,299₹10,799
Mini Project

Cybersecurity

Network Port Scanner & Service Fingerprinter

TCP and UDP scanning with banner grabbing, for your own lab hosts

  • Python
  • Sockets
  • asyncio
  • Rich
  • +1
₹5,299₹8,799
Capstone

Cybersecurity

Ransomware Early Detection from File Activity

Watches file events for entropy spikes and halts the process in a sandbox

  • Python
  • Watchdog
  • scikit-learn
  • Pandas
  • +1
₹9,599₹16,399

What you get

These kits come with a threat model, the datasets or captures used for testing and a report that documents the attacks covered and the ones that are out of scope. That last part is what makes a security project defensible.

  • 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
Free: 100 viva questions with answers

Project ideas

  • Network intrusion detection with machine learning
  • Encrypted file storage with steganography
  • Phishing website detection
  • Password strength analyser
  • Malware classification
  • Secure voting system
  • Keylogger detection tool
  • Two-factor authentication system
More project ideas

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Questions

Cybersecurity projects: FAQs

Yes. Every kit is defensive, meaning it detects, encrypts or protects, and all testing runs against public datasets or your own machine. None of them attacks systems you do not own.

No. They run on Windows, macOS or Linux with Python installed. Some optional testing steps are easier on Linux, and the guide covers both.

Encryption and steganography projects are the most self-contained. Intrusion detection is more impressive, but it expects you to explain both networking basics and model evaluation.

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