Structured into 11 chapters, the book progresses from fundamentals to advanced techniques, with real-world examples, legal insights, and ethical considerations.

Key Themes

1. Foundations of Cybersecurity

   • Explores core principles (CIA triad, threat modeling) and Python’s role in security automation.

   • Covers cybercrime classifications (phishing, ransomware) and frameworks (MITRE ATT&CK, NIST).

2. Offensive Security with Python

   • Network Scanning: Uses Scapy for packet manipulation, DNS reconnaissance, and vulnerability detection.

   • Web Security: Automates SQLi/XSS testing with requests and BeautifulSoup, and dynamic content analysis with Selenium.

3. Defensive Techniques

   • Cryptography: Implements AES, RSA, and hashing (SHA-256) for data protection.

   • Threat Mitigation: Strategies for malware, DDoS attacks, and insider threats.

4. Legal & Ethical Dimensions

   • Analyzes cyber laws (IT Act 2000, Indian Evidence Act) and admissibility of electronic evidence.

   • Discusses cybercrime trends (identity theft, cyberterrorism) and countermeasures.

5. Tools & Methods

   • Covers proxy servers, password cracking, keyloggers, and forensic tools with Python scripts.

Pedagogical Features

• Fun Fact Corners: Engaging trivia (e.g., "The first virus, Creeper, appeared in 1971").

• Real-World Code Examples: From port scanning to encrypting files.

• Case Studies: Legal precedents and attack simulations (e.g., session hijacking).

Target Audience

• Beginners: Clear explanations of terms like "firewall" or "hashing."

• Practitioners: Ready-to-use Python scripts for penetration testing.

• Legal Professionals: Primer on cyber law and digital evidence.

What Sets It Apart

• Balanced Approach: Merges theory (frameworks) with practice (Python automation).

• Regional Relevance: Focus on Indian cyber laws alongside global standards.

• Ethical Focus: Emphasizes responsible hacking and compliance.