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This repository contains security detection rules I've created, using the flexible and open Sigma standard, designed to enhance consistency and efficiency in security operations across various log files.
The Network Intrusion Detection Using Machine Learning Project aims to develop a machine learning-based system for detecting network intrusion Project Includes Project Includes Source Code, PPT, Synopsis, Report, Document , Base Research Paper & Video tutorials
Advanced PDF Analysis & Disarm Tool is a robust Python-based utility designed to scan, analyze, and neutralize potentially malicious elements in PDF files.
Completed a Malware Analysis and Reverse Engineering project where I analyzed a malware sample in an isolated environment, monitored its behavior, extracted file metadata, and created custom YARA rules and IoCs. Automated reporting with Python streamlined the analysis and improved efficiency.
The Malware Detection Using Deep Learning Project aims to develop an efficient and accurate malware detection system using deep learning techniques. Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
"GuardianEye 🌐🔒: Empowering Cybersecurity with Advanced Keylogger – A robust defense system providing comprehensive monitoring of employee activities, capturing keystrokes, screenshots, application logs, and system logs for proactive threat detection and enhanced security insights in modern business operations. 🛡️💻
KQL-Queries 🐙 provides ready KQL scripts for Microsoft Defender XDR threat hunting, helping security teams detect, investigate, and respond to threats.
This is an artificial intelligence (ML and DL) project for network security which works by detecting threats and uses attack classification and then implements self-healing mechanisms