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Cybersecurity and Vulnerability Analysis

This section covers various aspects of cybersecurity, ranging from fundamental security concepts and implementations to practical tools for security analysis and monitoring.

1. Basic Concepts

Fundamental security implementations and best practices in Python.

• Authentication & Access Control: Password hashing (bcrypt, Argon2), MFA, JWT, and RBAC.
• Encryption: Symmetric and asymmetric encryption techniques.
• Network Security: Secure communication and network-level protections.
• Vulnerability Assessment: Identifying and evaluating security weaknesses.
• Logging & Monitoring: Tracking and analyzing system events for security.
• Infrastructure Security: Securing the underlying systems and environment.
• Incident Response: Procedures and scripts for responding to security breaches.

2. Security Tools

Practical Python tools for security analysis, log processing, and network scanning.

• Error Pattern Extractor: Analyzing log files for security-related errors.
• File Search: Searching for sensitive information or specific file patterns.
• Log Frequency Analyzer: Identifying anomalies in log event frequencies.
• Subnet Scanner: Discovering devices and services on a network.
• Time-based Log Visualizer: Visualizing security events over time.