Difference between revisions of "Fall 2025: Cyber Forensics"

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== Resources ==
 
== Resources ==
* '''R1''': Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber. <br>
+
* '''R1''': Marjee T. Britz, Computer Forensics and Cyber Crime: An Introduction, Pearson Education, 2013. <br>
* '''R2''': Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003. <br>
+
* '''R2''': C. Altheide & H. Carvey Digital Forensics with Open Source Tools, Syngress, 2011. <br>
* '''R3''': Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006. <br>
 
* '''R4''': Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006
 

Revision as of 21:32, 17 August 2025

Logistics

  • Class Timings: Tuesdays and Thursdays 2:30 pm - 3:30 pm, Fridays 12:30 pm - 1:30 pm
  • Classroom: Tue and Thu: R2; Fri: CL-4
  • Lab Timings: Mondays 3:30 pm - 5:30 pm
  • Labs: CS Lab 5

Course Overview

  • As per the Delhi University Course Guidelines

Lectures

Lecture Topic Lecture Slides Readings
Unit-1 Digital Forensics:: 1Intro.pdf Chapter 1 (CB1)
Unit 2 Windows OS Forensics: 2DMT.pdf Chapter 2 (CB1)
Unit 3 Evidence Recovery: 3AR.pdf Chapter 6 (CB1)
Unit 4 Investigation: 4Classification.pdf Chapter 4 (CB1)
Unit 5 Cyber Crimes and Cyber Laws: Read from Authors' web page Chapter 5 (CB1)

Assignments and Tests

Class Assignments

  • Assignment No. 1,
  • Assignment No. 2,

Tests and Quizzes

  • Test 1 :
  • Test 2 :

Resources

  • R1: Marjee T. Britz, Computer Forensics and Cyber Crime: An Introduction, Pearson Education, 2013.
  • R2: C. Altheide & H. Carvey Digital Forensics with Open Source Tools, Syngress, 2011.