AI in Cyber Security
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Follow on Instagram for UpdatesAI in Cyber Security Syllabus — Unit-wise Content
The official GTU curriculum for AI in Cyber Security (subject code DI05000061) as prescribed for IC · Semester 5 divides the course into 5 units, covering 50 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (DI05000061)Unit 1 Cyber Space, Threats & Cryptography Fundamentals
- Cyber Space and Cyber Security Foundation: Definition
- CIA triad, and OSI Security Architecture. 1.2
- Cyber Threats & Terminology: Overview of Cyber Threats (Internal vs External)
- Private & Public Key Cryptography: Principles and use cases. 1.4
- Hashing Algorithms: MD5 and SHA for data integrity. 1.5
- AI Application: Role of AI in modern protection
- how AI enhances and challenges traditional cryptography
Unit 2 Account, Data & AI-Enhanced Security
- Authentication & Authorization: Password hygiene
- Multi-factor auth (MFA), SSO, and CAPTCHA. 2.2
- Malicious Software: Virus
- Trojan Horse
- Defensive Measures: Firewalls (Packet filter
- Application proxy)
- Antivirus concepts
- Cloud security basics. 2.4
- Account Attacks: Brute force
- Social Engineering
- Phishing (Vishing
- AI Application: AI in behavioural biometrics and AI-driven malware detection systems
Unit 3 Network, System & AI-Powered Monitoring
- Web Security threats: Integrity
- Denial of service. 3.2
- Network Ports & Protocols: Importance of ports
- HTTPS, SSH, WAP security
- Program Name: Diploma Engineering Level: Diploma Branch: Information & Communication Technology / Electronics & Communication Engineering Subject Code: DI05000061 Subject Name: AI in Cyber Security 3.3
- VPN (Virtual Private Networks): Secure remote access. 3.4
- AI Application: AI for network traffic analysis
- identifying botnets, and DDoS pattern recognition
Unit 4 Ethical Hacking & AI-Assisted Penetration Testing
- Basics of Ethical Hacking: Types of Hackers
- Hacking terminology (Vulnerability
- Five Steps of Hacking: Info Gathering
- Gaining/Maintaining Access
- Covering Tracks. 4.3
- Introduction to Kali Linux: Footprinting
- Port Scanning
- Password Cracking
- Injection attacks. 4.4
- AI Application: Using LLMs (ChatGPT/Claude) for script auditing
- vulnerability explanation, and security reporting
Unit 5 Cyber Laws, Forensic & AI-Based Investigation
- Introduction to Cyber Crime: Types and classifications
- Indian IT Act, Cyber Laws, and Digital Privacy. 5.2
- Cyber Forensics: Overview
- Mobile, and Email Forensics. 5.3
- Digital Forensics Tools: Autopsy
- FTK Imager. 5.4
- Basic Cyber Awareness & Practices: Password management
- safe browsing
- data privacy
- incident reporting. 5.5
- AI Application: AI-driven crimes (Deepfakes
- AI-powered Phishing) and the use of AI in cyber forensic analysis
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