Cyber Crime and Mitigation

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CYBER CRIME AND 3164207
FREE PDF 3164207
Code: 3164207 Credits: 4 Semester 6 CS-AI/ML

Cyber Crime and Mitigation

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Cyber Crime and Mitigation Syllabus — Unit-wise Content

The official GTU curriculum for Cyber Crime and Mitigation (subject code 3164207) as prescribed for CS-AI/ML · Semester 6 divides the course into 5 units, covering 55 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 (3164207)

Unit 1 Introduction to Cyber Crime and law

8 lecture hours

  • Cyber Crimes
  • Types of Cybercrime
  • Attack vectors
  • Cyberspace and Criminal Behavior
  • Clarification of Terms
  • Traditional Problems Associated with Computer Crime
  • Introduction to Incident Response
  • Digital Forensics
  • Computer Language
  • Network Language
  • Realms of the Cyber world
  • A Brief History of the Internet
  • Recognizing and Defining Computer Crime
  • Contemporary Crimes
  • Computers as Targets
  • Contaminants and Destruction of Data
  • Indian IT ACT 2000

Unit 2 Classification of cyber crimes

8 lecture hours

  • Taxonomy of Cybercrime
  • Classification of cybercrimes
  • Cyber crimes against persons
  • Crimes against person’s property
  • Cybercrimes against Government
  • Cybercrimes against Society at large
  • Causes of Cybercrime
  • Impact and effects of cybercrimes
  • Various Cybercrimes case studies
  • Subject Code : 3164207 Subject Name : Cybercrime and Mitigation

Unit 3 Systems Vulnerability Scanning

8 lecture hours

  • OWASP Top 10 Vulnerabilities
  • Overview of vulnerability scanning
  • Open Port / Service Identification
  • Banner /Version Check
  • Traffic Probe
  • Vulnerability Probe
  • Vulnerability Examples
  • Networks Vulnerability Scanning - Netcat
  • understanding Port and Services tools - Datapipe
  • Network Reconnaissance – Nmap
  • THC-Amap and System tools
  • Network Sniffers and Injection tools – Tcpdump and Windump
  • Hping Kismet

Unit 4 Network Defense tools

8 lecture hours

  • Firewalls and Packet Filters: Firewall Basics
  • Packet Filter Vs Firewall
  • Network protection through firewall
  • Packet Characteristic to Filter
  • Stateless Vs
  • Stateful Firewalls
  • Network Address Translation (NAT) and Port Forwarding
  • the basic of Virtual Private Networks
  • Linux Firewall
  • Windows Firewall
  • Snort: Introduction Detection System

Unit 5 Machine Learning for Cybercrime and Mitigation

8 lecture hours

  • A deep-dive on Machine Learning for Cyber Security Use Cases
  • Deep learning- based system for network cyber threat detection
  • Machine learning for phishing detection and mitigation
  • A Taxonomy of Bitcoin Security Issues and Defense Mechanisms

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