Difference between revisions of "Fall 2025: Cyber Forensics"

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!Readings
 
!Readings
 
|-
 
|-
| style="width: 12%; " | style="width: 60%" |  '''''Digital Forensics''''':  
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| style="width: 12%; " |  Unit-1
 +
| style="width: 60%" |  '''''Digital Forensics''''':  
 
| style="width: 15%" | [http://mkbhandari.com/mkwiki/data/spring2023/DM/1Intro.pdf '''1Intro.pdf''']   
 
| style="width: 15%" | [http://mkbhandari.com/mkwiki/data/spring2023/DM/1Intro.pdf '''1Intro.pdf''']   
 
| Chapter 1 (CB1)
 
| Chapter 1 (CB1)

Revision as of 21:11, 17 August 2025

Logistics

  • Class Timings: Wednesdays 1:00 pm - 3:00 pm (5th and 6th slot)and Thursdays 10:45 am - 12:45 pm (3rd and 4th slot)
  • Classroom: R33
  • Lab Timings: Mondays 8:45 am - 12:45 pm (1st - 4thslots)
  • 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

Course Books:

  • CB1: Introduction to Data Mining, Pang-Ning Tan, Michael Steinbach, Vipin Kumar, Pearson Education.

References:

  • R2: Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber.
  • R3: Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003.
  • R4: Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006.
  • R5: Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006