Python
BigData
IEEE 2025
ID: 1CP0420
Intrusion Detection Using Machine learning
Keywords:
Intrusion
Detection,
Machine
Learning,
Cybersecurity,
Network
Security,
Anomaly
Detection,
Threat
Detection,
Python.
Project Synopsis & Overview
A machine learning-based intrusion detection system that monitors network traffic to identify and prevent unauthorized access and cyber threats.
Complete Technical Specifications
| Project ID | 1CP0420 (DB ID: 420) |
| Project Title | Intrusion Detection Using Machine learning |
| Domain Division | Python |
| Sub-Domain / Tech | BigData |
| IEEE Year | IEEE 2025 |
| Package Price | ₹6500 |
| Created Date | Aug 22, 2026 |
Project Price
₹6500
₹8000
20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
Buy Full Project Now (₹6500)
Add Full Project to Cart
Add PPT Presentation Only (₹500)
Instant WhatsApp Enquiry
Need Help or Customization?
Call or WhatsApp our technical lead directly at +91 79043 20834
Related Python Projects
Python
2026
Carbon Footprint Prediction Using Advanced Machine Learning Techniques for Sustainability
carbon
foot
print
prediction
Python
2026
Utilizing Machine Learning for Analyzing and Predicting Trends in the Gold Market with Python
Python,
Machine
Learning,
Gold
Price
Prediction,
Gold
Market
Analysis,
Financial
Forecasting,
Time-Series
Forecasting,
Linear
Regression,
Decision
Tree
Regressor,
Support
Vector
Regression,
Random
For
Python
2026
Face Detection Token System for Hospitals Utilizing Python
Python,
OpenCV,
Computer
Vision,
Face
Detection,
Face
Recognition,
LBPH,
Haar
Cascade
Classifier,
Hospital
Management,
Patient
Identification,
Token
Generation,
Attendance
Tracking,
Patient
Registrati
Python
2026
A Python-based chatbot utilizing artificial intelligence for providing support to individuals experiencing depression
Python,
Artificial
Intelligence,
Natural
Language
Processing,
NLP,
Chatbot,
Mental
Health,
Depression
Assistant,
Sathvik
Bot,
Emotional
Support,
Symptom
Detection,
Symptom
Mapping,
Keyword
Extraction,