BSc Forensic Science Computer Science IV Syllabus - Mumbai University 2026

This degree runs on the Choice Based Credit System throughout, items 6.10, 6.11 and 6.12 of the Academic Council of 17 May 2022, brought in one year at a time from 2022-23. The University has published no NEP 2020 syllabus for it. The University examines only the third year of this degree centrally, under exam forms 1S00815 and 1S00816; the colleges examine the first four semesters.

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Syllabus for Computer Science IV

Semester 4 · SY BSc Forensic Science · 2 credits · 100 marks

Module I: Concealment Techniques: Introduction to cryptography, Types of

cryptographic algorithms (Secret key cryptography, public key
cryptography, Hash function), Electronic signature, Steganography, Obfuscation, Packing, Reversing the steganographic process,
Cloaking techniques(Data hide and seek),Renaming files,
manipulating file system, Data hiding on NTFS with alternate data
stream

Module II: Incident Response: Introduction to incident response process,

Computer security incident, Goals of incident response,
Involvement in incident response process, Incident response
methodology, formulate a response strategy, Investigation of
incident, Preparing for incident response, Overview of pre-incident preparation, Identifying risk after detection of an incident

Module III: Biometrics: Introduction to biometrics, Various types of biometric

methods, Characteristics of biometrics, Advantages and
disadvantages General Biometric System (Identification and
Verification), General architecture comparison of different
biometric technologies, difficulties in implementation of
biometrics, Applications of biometrics.

Module IV: Multimedia: Introduction to multimedia, Multimedia

components (text, graphics, animation, audio, video)
Multimedia Applications.
Image processing techniques:
Digital photography: processing pipeline and sensor charters tic,
sensor identification, Anomaly to detection: Statistics of natural
images inconsistency in lighting and chromatic aberration,
duplication detection. Image and video processing: re-sampling
algorithms (rotation scaling) and their identification via linear
dependency patterns among adjustcent pixels, compression history identification, Super resolution. Document printer / scanner
Identification with focus on steganography, water marking, and
finger printing algorithms for hiding, recovering, detecting and
distorting embedding signals in invariant properties.

Text books and Additional References

1 Kevin Mandia, Chris Prosise, “Incident Response and computer forensics”,Tata McGrawHill, 2006.
2 Peter Stephenson, “Investigating Computer Crime: A Handbook for Corporate Investigations”, Sept 1999.Computer Forensics
3 Computer Crime Investigation by John R,Vacca, Firewall Media, New Delhi.
4 Computer Forensics and Investigations by Nelson, Phillips Enfinger, Steuart, CENGAGE Learning.
5 Cyber Forensic a field manual for collecting ,examining and preserving evidence of computer crimes by Albert J. Menendez
6 Eoghan Casey, "Handbook Computer Crime Investigation's Forensic Tools and Technology", Academic Press, 1st Edition,
7 Skoudis. E., Perlman. R. Counter Hack: “A Step-by-Step Guide to Computer Attacks and Effective Defenses”, .Prentice Hall Professional Technical Reference. 2001.
8 Norbert Zaenglein, “Disk Detective: Secret You Must Know to Recover Information From a Computer”, Paladin Press, 2000.
9 Real Digital Forensics by Keith j.Jones, Richard Bejitlich,Curtis W.Rose ,AddisonWesley Pearson Education
10 Forensic Compiling,A Tractitioneris Guide by Tony Sammes and Brain Jenkinson,Springer International edition.
11 Computer Evidence Collection & Presentation by Chrostopher L.T. Brown, Firewall Media.
12 Homeland Security ,Techniques& Technologies by Jesus Mena,Firewall Media.
13 Software Forensics Collecting Evidence from the Scene of a Digital Crime by Robert M.Slade ,TMH 2005
14 Windows Forensics by chad Steel,Wiley India Edition.
15 Pattern Recognition by Theodoridus
16 Biometrics by Anil jain and salil prabhakar
17 Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Prentice-Hall, Inc.Upper Saddle River, NJ, USA, 2006
18 Alan Bovik, Handbook of Image and Video Processing, Academic Press, USA, 2000
19 Husrev Taha Sencar and Nasir Memon, Digital Image Forensics: There is More to a Picture than Meets the Eye, Springer Science and Business Media, New York, 2013
20 Anthony T.S. Ho and Shujun Li, Handbook of digital forensics of multimedia data and devices, John Wiley & Sons, Ltd., UK, 2015.
21 Hany Farid, Photo Forensics, The MIT Press, Cambridge, First Edition, 2016
22 Philip Rose, Forensic Speaker Identification, CRC Press, 2002

Reproduced from the University of Mumbai syllabus for B.Sc. (Forensic Science) under the Choice Based Credit System, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.

The complete syllabus

This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.

PDF 6.10 Revised Syllabus for F.Y.B.Sc. (Forensic Science), Sem I & II Choice Based Credit System syllabus Read full PDF Read

PDF 6.11 Revised Syllabus for S.Y.B.Sc. (Forensic Science), Sem III & IV Choice Based Credit System syllabus Read full PDF Read

PDF 6.12 Revised Syllabus for T.Y.B.Sc. (Forensic Science), Sem V & VI Choice Based Credit System syllabus Read full PDF Read

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