Difference between revisions of "Fall 2025: Cyber Forensics"
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== Logistics == | == Logistics == | ||
| − | *Class Timings: ''' | + | *Class Timings: '''Tuesdays and Thursdays''' 2:30 pm - 3:30 pm, '''Fridays''' 12:30 pm - 1:30 pm |
| − | *Classroom: | + | *Classroom: R2, CL-4 |
| − | *Lab Timings: '''Mondays''' | + | *Lab Timings: '''Mondays''' 3:30 pm - 5:30 pm |
*Labs: CS Lab 5 | *Labs: CS Lab 5 | ||
Revision as of 21:21, 17 August 2025
Contents
Logistics
- Class Timings: Tuesdays and Thursdays 2:30 pm - 3:30 pm, Fridays 12:30 pm - 1:30 pm
- Classroom: R2, 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: Data Mining: Concepts and Techniques, 3nd edition,Jiawei Han and Micheline Kamber.
- R2: Data Mining: A Tutorial Based Primer, Richard Roiger, Michael Geatz, Pearson Education 2003.
- R3: Introduction to Data Mining with Case Studies, G.K. Gupta, PHI 2006.
- R4: Insight into Data mining: Theory and Practice, Soman K. P., DiwakarShyam, Ajay V., PHI 2006
