Cyber Security

Overview: Cyber Security for Beginners is a clear, action-focused guide that translates core cybersecurity concepts into practical habits anyone can adopt. The overview emphasizes everyday defenses—strong passwords, multi-factor authentication, phishing awareness, encryption, malware protection, and reliable backups—presented in plain language so non-technical readers can apply immediately useful steps to protect devices, accounts, and sensitive data. What You’ll Learn This guide ...

In 2026, privacy is no longer a right—it is a battle. 'The Ghost Protocol' is not just an ebook; it is a high-level Cyber Security Manual designed to make you invisible in a world of constant surveillance. Inside this manual, you will master: #Your Phone is a Spy: Discover how your device quietly harvests location history, contact lists, and private communications without your consent. #The Metadata Trap: How your photos betray your exact location and identity to unseen entiti...

This document provides a full security assessment of MegaCorpOne’s internal and external systems, including reconnaissance, vulnerability identification, exploitation, privilege escalation, and lateral movement. It summarizes all actions performed during the penetration test, including network scanning, exploitation of outdated services, password attacks, credential harvesting, and domain compromise. The report also includes a detailed findings overview, MITRE ATT&CK mapping, and remediation r...

This PDF contains detailed Cyber Security notes for BCA with AI, ML, and Data Science specialization, focusing on Lesson 5-2: AI/ML Model Evaluation in Cybersecurity. Topics covered: Good models and model quality in AI/ML Classification models & classifier performance Misclassification error, error rate & accuracy Confusion matrix and classification errors False Positive (Type I Error) & False Negative (Type II Error) Sensitivity (TPR) and Specificity (TNR)

This document provides a clear and concise summary of Lesson 2.2 – Machine Learning (ML) and Artificial Intelligence (AI) in Cybersecurity Defense. Explains how AI and ML are applied in cybersecurity defense to detect, prevent, and mitigate cyber threats.Covers core defense applications including: Intrusion detection systems (IDS) Malware analysis and detection Anomaly detection in networks Automated threat intelligence Adaptive security systems Includes AI and ML te...

️ Cybersecurity & Ethical Hacking Full Diploma Notes Description: Comprehensive and well-organized notes covering all key topics from a Diploma in Cybersecurity & Ethical Hacking. Includes: The CIA Triad explained with real-world examples Deep dive into network security protocols (TCP/IP, SSL/TLS, HTTPS) Clear breakdowns of malware types, threat actors, and defense mechanisms Risk management frameworks (ISO, NIST, etc.) Summary of cyber laws and digital forensics basics ️...

Discover the ultimate guide to Cyber Security in 2025, covering everything from basic principles to advanced strategies like Ethical Hacking, Malware Analysis, Cloud and IoT Security, Threat Hunting, and more. Whether you're a beginner, student, or IT professional, this all-in-one resource helps you master key topics like cryptography, incident response, identity management, Zero Trust, AI-driven defense, and 5G security challenges. Learn how to protect systems, networks, and data from mod...

The cybersecurity internship report on network sniffers details the analysis and implementation of packet capturing tools to monitor network traffic. During the internship, I utilized tools like Wireshark to capture and analyze data packets, identifying potential security threats and vulnerabilities in real-time. The report outlines the methodologies used for packet analysis, including filtering techniques and protocol dissection. Key findings highlighted common security issues such as unencrypt...

It is a important question paper and exam papers

It is a important question paper and exam question papers