Dr. Manu V. T.

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Assistant Professor
Cyber Security & Digital Forensics · NFSU Bhopal
Programme Coordinator — M.Sc. Digital Forensics & Information Security
B.Tech CSE — NIT Calicut Ph.D — University of Hyderabad CISA (Certified Information Systems Auditor) ISO 27001:2022 Lead Auditor — Information Security Management Systems (ISMS)
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Academic Timetable

10:30–11:00
Computer Forensics
11:00–11:30
Computer Forensics(continued)
11:30–12:00
Audio Recognition & Video AnalysisFSMS24 SPIII-P3 · M.Sc. FS, Forensic Physics Spec., Sem III · w/ Dr. Praveen Kumar Yadav
12:00–12:30
Audio Recognition & Video Analysis(continued)
12:30–13:00
Free
13:00–13:30
Free
13:30–14:00
— Lunch Break —
14:00–14:30
Free
14:30–15:00
Free
15:00–15:30
Cyber Security Audit and ComplianceCTMSDFIS/CTMSCS SI P2
15:30–16:00
Cyber Security Audit and Compliance(continued)
16:00–16:30
Free
16:30–17:00
Free
17:00–17:30
Free
17:30–18:00
Free
10:30–11:00
Computer Forensics
11:00–11:30
Computer Forensics(continued)
11:30–12:00
Audio Recognition & Video AnalysisFSMS24 SPIII-P3 · M.Sc. FS, Forensic Physics Spec., Sem III
12:00–12:30
Audio Recognition & Video Analysis(continued)
12:30–13:00
Free
13:00–13:30
Free
13:30–14:00
— Lunch Break —
14:00–14:30
Free
14:30–15:00
Free
15:00–15:30
Cyber Security Audit and ComplianceCTMSDFIS/CTMSCS SI P2
15:30–16:00
Cyber Security Audit and Compliance(continued)
16:00–16:30
Free
16:30–17:00
Digital Forensics & Cyber LawBSC-MJ-501 · B.Sc.-M.Sc. Forensic Science, Sem V
17:00–17:30
Digital Forensics & Cyber Law(continued)
17:30–18:00
Free
10:30–11:00
Computer Forensics
11:00–11:30
Computer Forensics(continued)
11:30–12:00
Free
12:00–12:30
Free
12:30–13:00
IoT Security & ForensicsCTMSDFIS/CTMSCS SIII P2 · M.Sc. CS + M.Sc. DFIS, Sem III
13:00–13:30
IoT Security & Forensics(continued)
13:30–14:00
— Lunch Break —
14:00–14:30
Free
14:30–15:00
Free
15:00–15:30
Cyber Security Audit and ComplianceCTMSDFIS/CTMSCS SI P2
15:30–16:00
Cyber Security Audit and Compliance(continued)
16:00–16:30
Free
16:30–17:00
Digital Forensics & Cyber LawBSC-MJ-501 · B.Sc.-M.Sc. Forensic Science, Sem V
17:00–17:30
Digital Forensics & Cyber Law(continued)
17:30–18:00
Free
10:30–11:00
IoT Security & ForensicsCTMSDFIS SIII P2
11:00–11:30
IoT Security & Forensics(continued)
11:30–12:00
Audio Recognition & Video AnalysisFSMS24 SPIII-P3 · M.Sc. FS, Forensic Physics Spec., Sem III
12:00–12:30
Audio Recognition & Video Analysis(continued)
12:30–13:00
Free
13:00–13:30
Free
13:30–14:00
— Lunch Break —
14:00–14:30
Free
14:30–15:00
Free
15:00–15:30
Free
15:30–16:00
Free
16:00–16:30
Free
16:30–17:00
Digital Forensics & Cyber LawBSC-MJ-501 · B.Sc.-M.Sc. Forensic Science, Sem V
17:00–17:30
Digital Forensics & Cyber Law(continued)
17:30–18:00
Free
10:30–11:00
Free
11:00–11:30
Free
11:30–12:00
Free
12:00–12:30
Free
12:30–13:00
Digital Forensics & Cyber LawBSC-MJ-501 · B.Sc.-M.Sc. Forensic Science, Sem V
13:00–13:30
Digital Forensics & Cyber Law(continued)
13:30–14:00
— Lunch Break —
14:00–14:30
⚠ ClashIoT Security & Forensics (CTMSDFIS SIII P2) / Audio Recognition & Video Analysis both scheduled here
14:30–15:00
⚠ ClashIoT Security & Forensics (continued) / Audio Recognition & Video Analysis (continued)
15:00–15:30
IoT Security & Forensics LabCTMSDFIS SIII L2
15:30–16:00
IoT Security & Forensics Lab(continued)
16:00–16:30
IoT Security & Forensics Lab(continued)
16:30–17:00
IoT Security & Forensics Lab(continued)
17:00–17:30
Free
17:30–18:00
Free
01Lunch break timing differs slightly by programme: 13:30–14:00 is common to all; B.Sc.-M.Sc. Forensic Science students continue until 14:30, while M.Sc. Cyber Security / DFIS / Forensic Physics resume classes at 14:00.
02One schedule clash is currently flagged (Fri 14:00–15:00) between IoT Security & Forensics (CTMSDFIS SIII P2) and Audio Recognition & Video Analysis, pending resolution with the respective Programme Coordinators.
03IoT Security & Forensics (Theory & Lab) timings updated per the CTMSDFIS SIII official time table.
04All timings are tentative, sourced from the respective official time tables, Odd Sem 2026-27.

Course Syllabi

ThTuPrCTCHTA-1&2MSEUniv. ExamTotal
30033 25 00:45 50 01:30 100 03:00 200
Course Objectives

To learn how computers work and handle data; to understand electronic evidence and various computer artefacts; to learn electronic evidence acquisition techniques; and to learn how to analyze Windows, Linux and Mac OS machines.

Units
Unit IFundamentals of Computer Systems

Number Systems: Binary, Octal, Decimal and Hexadecimal, Conversion and Operations on Binary Number Systems, Representing Information in Hexadecimal and Binary, Little Endian and Big-Endian Formats. Computer Architecture: Input Devices, Central Processing Unit, Storage Devices and Output Devices. Secondary Storage Devices: Understanding Disk, Volume and Partition, HDD and SSD Structures, Introduction to MBR, GPT and VBR. Basics of Operating Systems: Role of Operating System, Boot Process, Introduction to Process and Memory Management.

Unit IIIntroduction to Computer Forensics Investigations and Electronic Evidence

Digital Forensics: Definition, Process, Locard's Principle of Exchange, Branches of Digital Forensics, Handling Digital Crime Scene, Important Documents and Electronic Evidences. Introduction to Evidence Acquisition: Identification, Acquisition, Labelling and Packaging, Transportation, Chain-of-Custody, Importance of Documentation and Preservation. Acquisition Process: Write-Blockers, Imaging Techniques, Evidence Integrity, Standard Operating Procedures for Acquisitions and Preservation of Evidences. Introduction to Data Recovery and Carving: Importance of Data Recovery in Forensic Investigation, Carving Methods, Difference between Data Recovery and Carving.

Unit IIIWindows OS Forensics

Windows OS Architecture, File System Analysis: Understanding and Analyzing FAT and NTFS File Systems, Recreating FAT and NTFS Partitions, Analyzing Unallocated Partitions. Registry Analysis: Understanding Windows Registry, Analyzing Windows Registry, Finding Important Artefacts Related to User Activities, User/Application Configurations and Preferences; Attached Devices, Shared Locations, Recently Accessed Documents, Programs and Locations; Installed Applications and Others from Windows Registry. Event and Log Analysis: Introduction to Windows Events, Understanding Windows Events (Evt and Evtx Files), Analyzing Logs of Third-party Applications.

Unit IVLinux OS Forensics

Linux OS Architecture, File System Analysis: Understanding and Analyzing EXT File System, Recreating EXT Partitions, Analyzing Unallocated Partitions. Log Analysis: Understanding Various Logs, Analyzing Important Logs to Find Important Artefacts Related to User Activities, User/Application Configurations and Preferences; Attached Devices, Shared Locations, Recently Accessed Documents, Programs and Locations; Installed Applications.

Unit VMAC OS Forensics

MAC OS Architecture, File System Analysis: Understanding and Analyzing HFS and HFS+ File System, Recreating HFS Partitions, Analyzing Unallocated Partitions. Log Analysis: Understanding Various Logs, Analyzing Important Logs to Find Important Artefacts Related to User Activities, User/Application Configurations and Preferences, Attached Devices, Shared Locations, Recently Accessed Documents, Programs and Locations, Installed Applications.

References
  • A Practical Guide to Computer Forensics Investigations (Pearson IT Cybersecurity Curriculum) — Darren R. Hayes
  • Learn Computer Forensics: A beginner's guide to searching, analyzing, and securing digital evidence — William Oettinger
  • Investigating Windows Systems — Harlan Carvey
  • Practical Linux Forensics: A Guide for Digital Investigators — Bruce Nikkel
  • Linux Forensics — Philip Polstra
  • Digital Forensics with Open-Source Tools — Cory Altheide, Harlan Carvey
  • Operating Systems: Internals and Design Principles, 9/e — William Stallings
  • Linux Bible, 10th Edition — Christopher Negus
  • Linux Pocket Guide: Essential Commands, 3rd Edition — Daniel J. Barrett
ThTuPrCTCHTA-1&2MSEUniv. ExamTotal
31044 25 00:45 50 01:30 100 03:00 200
Jointly taught as CTMSDFIS SI P2 (M.Sc. Digital Forensics & Information Security) and CTMSCS SI P2 (M.Sc. Cyber Security), Semester I — identical syllabus under both codes.
Course Objectives

To learn security audit and compliance; to understand the process of security audit; to understand industry-standard auditing practices; to learn various security standards; to learn policy-making and organizational structure; and to understand risk and continuity planning.

Units
Unit IThe Need for Information System Security Compliance

What is IT security assessment? What is an IT security audit? What is compliance? How does an audit differ from an assessment? Why are governance and compliance important? What if an organization does not comply with compliance laws? What is the scope of an IT compliance audit? What does your organization do to be in compliance? What are you auditing within the IT infrastructure? Maintaining IT compliance.

Unit IIPlanning and Implementation of an IT Infrastructure Audit for Compliance

Defining the scope for audit, identifying critical requirements for the audit, assessing IT security, obtaining information, documentation and resources, mapping the IT security policy framework definition to the seven domains of a typical IT infrastructure, identifying and testing monitoring requirements. What are controls and why are they important: goal-based security controls, implementation-based security controls, the security control formulation and development process, setting the stage for control implementation through security architecture design, implementing a multitiered governance and control framework in a business. The IT audit process: audit plan, audit process, types of IT audits, Computer-Assisted Audit Techniques (CAATs) for sampling, application reviews, and auditing application controls.

Unit IIIConducting an IT Infrastructure Audit for Compliance

Identifying the minimum acceptable level of risk and appropriate security baseline definitions, seven domains of a typical IT infrastructure, writing the IT infrastructure audit report. Compliance within the User Domain, the Workstation Domain, the LAN Domain, and the LAN-to-WAN Domain: requirements, business drivers, common devices/components, maximizing C-I-A, penetration testing and validating configurations. Compliance within the Remote Access and Application Domain: common devices/components, application server vulnerability management, application patch management.

Unit IVRisk Assessment and BCP, DR Planning

Introduction to risk analysis, risk identification, risk assessment, risk response and mitigation, risk reporting. Introduction to Business Continuity Planning (BCP): overview of the BCP life cycle, need for BCP, identifying and selecting business continuity strategies. Introduction to Disaster Recovery (DR) planning: identification of potential disaster status, DR strategies, plans for business resumption.

Unit VCyber Law and Auditing Standards/Frameworks

Indian IT Act with amendments, adjudication under the Indian IT Act. Auditing standards and frameworks: ISO/IEC 27001/2, COBIT, SOC Compliance, HIPAA, GDPR and PCI DSS.

References
  • Auditing IT Infrastructures for Compliance — Martin M. Weiss, Michael G. Solomon, Jones & Bartlett Learning, 2015
  • The IT Regulatory and Standards Compliance Handbook — Craig S. Wright, Syngress, 2015
  • Information Technology Control and Audit, 5th Edition — Angel R. Otero, 2019
  • The Complete Guide to Cyber Security Risks and Controls (Internal Audit and IT Audit Series) — Anne Kohnke, Dan Shoemaker, Ken Sigler, 2016
  • PCI DSS: An Integrated Data Security Standard Guide — Jim Seaman, Apress, 2020
  • AICPA Guide: SOC 2 Reporting on an Examination of Controls at a Service Organization — Wiley, 2018
  • The EU General Data Protection Regulation (GDPR): A Practical Guide — Paul Voigt and Axel von dem Bussche, 2017
  • PCI DSS, SAQ Instructions and Guidelines (available online)
  • Business Continuity, 2nd Edition — Bob Hayes, Kathleen Kotwica, Elsevier, 2013
  • Governance, Risk, and Compliance — Microsoft, 2019
ThTuPrCTCHTA-1&2MSEUniv. ExamTotal
31044 50 00:45 50 01:30 100 03:00 200
Course Objectives

The primary objective is to teach students how to identify and classify various types of cybercrimes occurring in the digital realm; comprehend the fundamental principles and methodologies of Digital Forensics, including data acquisition, analysis, and preservation of digital evidence in accordance with legal standards; and gain insight into the key sections of the IT Act and related laws governing the admissibility of digital evidence in legal proceedings.

Modules
Module 1 · 15 HrsForms of Cyber-Crime and Introduction to Digital Forensics

Cyber-crime – overview, internal and external, online and offline attacks. Cyber-crime against individuals and organizations – email spoofing, phishing, spamming, unauthorized access, DoS/DDoS, computer sabotage, malware, email bombing, salami attack, software piracy, industrial espionage, crimes on social media, banking frauds, IP frauds.

Digital Forensics – introduction, objective, methodology, rules and services, branches: Live, Disk, Network, Mobile Device Forensics etc.

Module 2 · 15 HrsIncident Response and Digital Evidence

Incident Response and First Responder at crime scene – role, toolkit, stages, do's and don'ts. Types and sources of digital evidence, collection principles, Best Evidence Rule, forensic readiness, ethics, search/seizure/preservation of volatile and non-volatile evidence, imaging, hashing, deleted data recovery.

Module 3 · 15 HrsIntroduction to IT Act and Cyber Laws

IT Act 2000 – objectives, applicability, definitions, amendments; digital signature, electronic records/evidence/governance; IT (Amendment) Act 2008; cyber-crimes under Sections 43(a)-(j), 43A, 65, 66, 66A-66F, 67, 67A, 67B, 70, 70A, 70B, 80 with penalties; penal provisions for phishing, spam, malware, hacking, stalking; relevant sections of Indian Evidence Act.

Learning Outcomes
  1. Understand the different types of crimes in the cyberspace.
  2. Get familiar with the principles of Digital Forensics.
  3. Learn the basics of Incident Response and principles pertaining to digital evidence.
  4. Get an overview of the sections of IT Act and laws related to admissibility of digital evidences.
References
  • Nina Godbole & Sunit Belapore, "Cyber Security: Understanding Cyber-crimes, Computer Forensics and Legal Perspectives," Wiley, 2011.
  • Bill Nelson, Amelia Phillips, Christopher Steuart, "Guide to Computer Forensics and Investigations," 5th ed., Cengage, 2010.
  • William Stallings, "Cryptography and Network Security," 5th ed., Prentice Hall, 2007.
  • Majid Yar, "Cybercrime and Society," Sage, 2006.
  • Michael E. Whiteman & Herbert J. Mattord, "Principles of Information Security," Vikas Publishing House, 2003.
  • EC-Council, "Computer Hacking Forensic Investigator v.9."
  • Harish Chander, "Cyber Laws and IT Protection," PHI Learning, 2012.
  • Karnika Seth, "Computers, Internet and New Technology Laws," Lexis Nexis Butterworth Wadhwa, 2012.
LTPCTCHTA-1&2MSEUniv. ExamTotal
40044 50 01:30 50 01:30 100 03:00 200
Jointly taught with Dr. Praveen Kumar Yadav — M.Sc. Forensic Science, Specialization III (Forensic Physics and Ballistics), Semester III.
Course Objectives

A comprehensive understanding of forensic voice and video analysis — covering the history and theory of voice production, speaker recognition and profiling techniques, handling and examination of audio evidence, and forensic video examination including processing, authentication, legal admissibility, biometric analysis and CCTV forensics through related case studies.

Units
Unit I · 15 HrsIntroduction to Voice Identification / Speaker Recognition

History of voice analysis, voice production theory, interspeaker/intraspeaker variations, text-dependent/independent recognition, discriminating tests, handling and physical examination of audio recording evidences, marking of speakers, preparation of working copies.

Unit II · 15 HrsSpeaker Profiling

Segregation of speech samples, auditory/spectrographic/automatic recognition techniques, enhancement and normalization, authenticity and integrity, speech signal processing, Fourier analysis, analogue-to-digital conversion, instruments, report writing, admissibility of audio evidence in court.

Unit III · 15 HrsForensic Video Examination

Definition, scope, significance in crime investigation, collection/handling/preservation of video files, frame extraction, shot-by-shot analysis, video authentication, metadata analysis, hash value generation, biometric analysis, facial biometrics.

Unit IV · 15 HrsCCTV Forensics

Acquisition/handling/preservation of CCTV footage, hash generation, DVR/NVR extraction, chain of custody, authentication and enhancement, forensic tools, legal admissibility.

Learning Outcomes
  1. Detailed insight into audio, video and image forensics.
  2. Understand how multimedia evidences are collected and analysed for forensic investigation.
  3. Learn about the legal admissibility of multimedia evidences.
References
  • Hill, T. (2020). CCTV Handbook. Independently published.
  • Damjanovski, V. (2005). CCTV: Networking and Digital Technology, 2nd ed. Butterworth-Heinemann.
  • Kroener, I. (2014). CCTV: A Technology under the Radar? Routledge.
  • Types of CCTV Cameras – The Complete Guide, Business Watch (2020).
  • Paul, D., & Puvvala, C. (2020). Video Analytics Using Deep Learning. Apress.
  • The 2022 Report on Video Analytics, Intelligence, Surveillance, Reconnaissance and Object Recognition Technologies. ICON Group International.
  • Carle, B., & Jensen, R. C. (2018). Understanding Video Management Systems.
  • Wolper, V. E. (2020). Photograph Restoration and Enhancement, 3rd ed. Mercury Learning & Information.
  • Phil Rose & James Robertson, Forensic Speaker Identification.
  • Harry Hollien, Forensic Voice Identification.
  • Ray D Kent & Charles Read, The Acoustic Analysis of Speech.
ThTuPrCTCHTA-1/2MSEUniv. ExamTotal
0300000303 25 00:45 50 01:30 100 03:00 200
Jointly taught as CTMSDFIS SIII P2 (M.Sc. Digital Forensics & Information Security) and CTMSCS SIII P2 (M.Sc. Cyber Security), Semester III — identical syllabus under both codes.
Objectives
  1. To understand the basic concept and architecture of IoT.
  2. To understand the IoT communication and messaging protocols.
  3. To understand the IoT enabling technologies.
  4. To understand the IoT security aspects.
  5. To understand the basics of IoT security.
Units
Unit IIntroduction to IoT

Definition & characteristics, evolution, physical/logical design, IoT components, levels and deployment techniques, applications & domains, enabling technologies, challenges in IoT.

Unit IIM2M & System Management

M2M vs IoT, Software Defined Networking (SDN), Network Function Virtualization (NFV), SNMP and its limitations, network operator requirements, H/W and S/W communications (UART, SPI, I2C, JTAG).

Unit IIIIoT Communication and Messaging Protocols

Protocol stack for IoT, HTTP, MQTT, XMPP, COAP basics and architectures.

Unit IVIoT Security

Interoperability, need for security, privacy & threats, attack vectors & surfaces, pen testing approaches, OWASP Top 10 for IoT, threat modeling, cloud security architecture, case study.

Unit VIoT Forensics, Standards & Guidelines

Introduction to IoT forensics, forensic investigation of IoT devices & components, forensic tools & techniques, standards and guidelines, case study.

References
  • Arshdeep Bahga & Vijay Madisetti, "Internet of Things: A Hands-On Approach," Universities Press, 2015.
  • B. B. Gupta & Aakanksha Tewari, "A Beginner's Guide to Internet of Things Security," CRC Press, 2020.
  • Aaron Guzman & Aditya Gupta, "IoT Penetration Testing Cookbook," Packt Publishing, 2017.
  • Fotios Chantzis et al., "Practical IoT Hacking," No Starch Press, 2021.
  • Brian Russell & Drew Van Duren, "Practical Internet of Things Security," 2016.
  • Jan Holler et al., "From Machine-to-Machine to the Internet of Things," Academic Press, 2014.
  • Shancang Li & Li Da Xu, "Securing the Internet of Things," Elsevier, 2017.
  • David Hanes et al., "IoT Fundamentals," Cisco Press, 2017.
  • Reza Montasari et al., "Digital Forensic Investigation of Internet of Thing Devices," Springer, 2021.

About Me

Teaching has always been close to my heart — a passion shaped by my mother, who served as a state award–winning teacher in the government school system. Inspired by her dedication and impact, I chose to pursue a life in academia where I could blend learning, discovery, and the joy of guiding future engineers.

My academic journey began with a B.Tech. in Computer Science and Engineering from NIT Calicut, followed by an M.Tech. from the University of Kerala. I then completed my Ph.D. in Computer Science at the University of Hyderabad, with doctoral research carried out at the Center of Excellence in Cyber Security, IDRBT — an institute established by the Reserve Bank of India.

I had the privilege of being mentored by Prof. B. M. Mehtre, a pioneer behind India's first Automated Fingerprint Identification System (AFIS). Over the years, my research has led to publications in Forensic Science International (SCI, Q1) and Signal, Image and Video Processing (SCIE, Q2), as well as multiple Scopus-indexed conference papers and book chapters.

At IDRBT, I led large-scale cyber drills involving more than 25 participants at a time, helping banks improve incident response capabilities in line with RBI directives. My digital forensics experience includes the FRED forensic workstation and tools such as EnCase, Oxygen Forensics, and Paraben SIM analysis suites.

Today, my research spans image forensics and cyber defense analytics—driven by a belief that technology should enable trust, and that education empowers individuals to secure the world they build. Guided by this philosophy, I combine research with hands-on forensic practice, using tools such as Amped FIVE and Amped Authenticate to examine CCTV footage and verify the authenticity of questioned images.

Educational Qualifications

2013 – 2018
Ph.D — Computer Science
School of Computer and Information Sciences (SCIS), University of Hyderabad (Central University)
& Center of Excellence in Cyber Security, IDRBT, Hyderabad
(Established by Reserve Bank of India)
2009 – 2011
M.Tech — Computer Science
Specialization: Digital Image Computing
Department of Computer Science, University of Kerala, Kariyavattom Campus
2003 – 2007
B.Tech — CSE
Computer Science & Engineering
National Institute of Technology (NIT) Calicut
2001 – 2003
AISSCE — Computer Science
St. Antony's Public School, Anakkal, Kanjirappally
Kottayam District, Kerala — CBSE, New Delhi
Established 1986 · CBSE Affiliation No. 930037 · School Code 75036
2001
AISSE — Physics, Chemistry, Maths
St. Antony's Public School, Kanjirappally
Kottayam District, Kerala — CBSE, New Delhi
Established 1986 · CBSE Affiliation No. 930037 · School Code 75036

NB: All academic programs completed in Regular Full-Time mode.

Consultancy Services

Ref: ADM/NFSU/FCNotification/1554/2023  ·  Dated: 17-04-2023
National Forensic Sciences University (NFSU)  ·  Ministry of Home Affairs, Government of India
Service Govt Agencies (MHA) Other Govt Private / Industries
Digital Forensic As-A-Service per Exhibit ₹ 13,310 /- ₹ 13,310 /- same ₹ 13,310 /- same
System Audit
₹ 1,000 /-per Endpoint
Network Audit & Assessment
Scope-based
Web Application Audit
Scope-based
Mobile Application Audit
Scope-based
Managed Security Service Provider
Scope-based
Onsite Audit & Compliance
₹ 18,000 /-per day / consultant
Incident Response & Management
₹ 18,000 /-per day / consultant
01All charges are exclusive of applicable taxes.
02Travel & logistics charges will be billed separately.
03Economic viability of on-premises audit and assessment will be evaluated prior to execution.

Publication List

International Peer-Reviewed Journals
1.
Q1 JournalSCIScopusCitations: 15
Manu, V. T., & Mehtre, B. M. (2019). Tamper detection of social media images using quality artifacts and texture features. Forensic Science International, Elsevier, 295, 100–112.
↗ DOI: 10.1016/j.forsciint.2018.11.025 · IF: 2.395
2.
Q2 JournalSCIEScopusCitations: 29
Manu, V. T., & Mehtre, B. M. (2018). Copy-move tampering detection using affine transformation property preservation on clustered keypoints. Signal, Image and Video Processing, Springer, 12(3), 549–556.
↗ DOI: 10.1007/s11760-017-1191-7 · IF: 2.157
International Conferences — Outside India (Scopus Indexed)
3.
Scopus IndexedCitations: 6
Manu, V. T., & Mehtre, B. M. (2017). Blind technique using blocking artifacts and entropy of histograms for image tampering detection. In Second International Workshop on Pattern Recognition (SPIE Proceedings, Vol. 10443). NTU, Singapore, May 1–3, 2017.
↗ DOI: 10.1117/12.2280306
International Conferences — In India (Scopus Indexed)
4.
Scopus IndexedCitations: 56
Manu, V. T., & Mehtre, B. M. (2016). Detection of copy-move forgery in images using segmentation and SURF. In Advances in Signal Processing and Intelligent Recognition Systems (pp. 645–654). Springer, Cham.
5.
Scopus IndexedCitations: 14
Manu, V. T., & Mehtre, B. M. (2015). Visual artifacts based image splicing detection in uncompressed images. In Computer Graphics, Vision and Information Security (CGVIS), IEEE International Conference (pp. 145–150). IEEE.
6.
Scopus IndexedCitations: 26
Manu, V. T., & Simon, P. (2012). A Novel Statistical Fusion Rule for Image Fusion in Non Subsampled Contourlet Transform Domain. In International Conference on Computer Science and Information Technology (pp. 367–376). Springer, Berlin.
Book Chapters (Scopus Indexed)
7.
Book ChapterCitations: 0
Sitara, K., & Manu V. T. (2022). Security concerns and forensic aspects of IoHT. In Smart and Secure Internet of Healthcare Things. CRC Press, Taylor & Francis Group.
8.
Book ChapterCitations: 0
Manu, V. T., & Mehtre, B. M. (2018). Review of Image Tampering Detection Techniques. In S. Ramakrishnan (Ed.), Cryptographic and Information Security Approaches for Images and Videos, 1st Ed. CRC Press, p. 986.
Miscellaneous
9.
arXivCitations: 2
Manu, V. T., & Simon, P. (2012). A novel statistical fusion rule for image fusion and its comparison in Non-Subsampled Contourlet Transform and Wavelet domains. arXiv preprint arXiv:1205.1648.

Contact & Research Profiles

Google Scholar
Personal Email
manuvt [at] gmail.com
Official Homepage
Institution
NFSU, Bhopal Campus
Dept. of Cyber Security & Digital Forensics

Certifications

Professional
CISA
Certified Information Systems Auditor®
Conducting Body: ISACA
View Digital Credential ↗
Awarded — January 2024
ISO/IEC 27001:2022
Lead Auditor ISMS (Information Security Management Systems)
Conducting Body: TÜV SÜD
Awarded — October 2025
AWS Academy
AWS Academy Graduate
AWS Academy Cloud Foundations
Conducting Body: AWS Academy
Completed
Academic
UGC-NET
Computer Science and Applications
Conducting Body: UGC
Pass — December 2012
GATE
Graduate Aptitude Test in Engineering
Computer Science & Information Technology
Awarded — 2008 • 2009 • 2014 • 2018