RSK World - ML Cybersecurity Projects | RSKWORLD.IN - Free Programming Resources & Source Code

ML Cybersecurity Project Categories

Intrusion Detection

IDS, Network Security, Attack Detection

ML projects for detecting intrusions, network attacks, and unauthorized access attempts.

Technologies:

Python Scikit-learn TensorFlow Pandas NumPy NetworkX

Malware Detection

Malware Analysis, Deep Learning

Deep learning and ML projects for detecting and classifying malware samples.

Technologies:

Python TensorFlow Keras PyTorch NumPy Pandas

Phishing Detection

Email Security, URL Analysis

ML projects for detecting phishing emails, malicious URLs, and social engineering attacks.

Technologies:

Python NLTK Scikit-learn BeautifulSoup Pandas

Network Security

Traffic Analysis, Anomaly Detection

Projects for analyzing network traffic, detecting anomalies, and monitoring network security.

Technologies:

Python Scikit-learn Pandas NumPy Scapy Wireshark

Fraud Detection

Transaction Security, Behavioral Analysis

Machine learning projects for detecting fraudulent transactions and suspicious activities.

Technologies:

Python Scikit-learn XGBoost TensorFlow Pandas

Threat Intelligence

Log Analysis, Incident Response

ML projects for security log analysis, threat intelligence, and automated incident detection.

Technologies:

Python Scikit-learn Pandas NumPy ELK Stack

Explore Our Projects

Discover cutting-edge ML cybersecurity solutions

Fraud Detection System using ML

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities.

ML Projects Advanced

View Details Download Source

Botnet Detection with Machine Learning

ML-based system to detect botnet activities and compromised devices in network traffic.

ML Projects Intermediate

View Details Download Source

SQL Injection Detection using NLP

Natural language processing and ML model to detect SQL injection attacks in web applications.

ML Projects Intermediate

View Details Download Source

Ransomware Detection with Deep Learning

Deep learning model to detect ransomware attacks by analyzing file encryption patterns and behavior.

ML Projects Advanced

View Details Download Source

Security Log Analysis with ML

Machine learning system to analyze security logs and identify security incidents automatically.

ML Projects Intermediate

View Details Download Source

Zero-Day Attack Detection System

Advanced ML system to detect zero-day attacks using behavioral analysis and anomaly detection.

ML Projects Advanced

View Details Download Source

1
2