Python Program to obfuscate URLs to make Phishing attacks more difficult to detect. Uses Active open redirect list and other URL obfuscation techniques.

Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.

Scripts to deploy virtual testbed for log data analysis and anomaly detection.

This repository provides the codes for designing a data-driven control architecture for preserving the safety and tracking performance of constrained cyber-physical systems under networked attacks. (coming soon!)

Scripts to analyze the CAM-LDS using LLMs

Syracuse University, Masters of Applied Data Science - IST 623 Introduction to Information Security

An AI-driven network intrusion detection system built from scratch, combining machine learning and deep learning techniques to analyze network behavior, identify anomalies, and detect potential cyber threats in real time.

Comprehensive presentation on cybersecurity best practices for SMEs, highlighting key threats like phishing, ransomware, and DDoS attacks, and offering AI-powered solutions to enhance business resilience.

Network-Intrusion-Detection

AI-powered intrusion detection system using machine learning to identify network and IoT cyber-attacks in real time.

This project analyzes global cybersecurity incidents to identify patterns in cyber attacks, financial losses, affected industries, and threat actors. The analysis combines SQL data exploration, Python visualizations, and an interactive Power BI dashboard to better understand the global cyber threat landscape.

İnternet üzerinden gerçekleştirilen saldırılar ve saldırılara karşı alınabilcek önlemler hakkında ayrıntılı bir araştırma içermektedir.