DIGAMBAR PAWAR

Ph.D, BITS PILANI

I am currently Working as an Associate Professor in the School of Computer and Information Sciences, University of Hyderabad.

Areas of Research

Digital Forensics, Cloud Computing and allied areas, Information Security



Academic Background

Qualification Details
Ph.D Title: Novel Digital Forensic Framework for Cloud Computing Environment, BITS Pilani, during 2011-2016
M.Tech In Computer Science and Engineering, NIT Warangal, during 2001-2003
B.Tech In Computer Science and Engineering, SRKR, Andhra University, during 1997-2001


Employment details

A total of 19 Years of experience – 13 years in teaching (B.Tech & M.Tech level), 6 years in Research and Development in a Central Government organization.

Designation Associate Professor Lecturer/Asst. Prof Scientist. B
Organization University of Hyderabad BITS Pilani Hyderabad Campus CDAC, Trivandrum
From 01.03.20117 14.03.2011 16.11.2005
To Till date 30.11.2016 11.03.2011


BITS Pilani Hyderabad

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Centre for Development of Advanced Computing (CDAC), Trivandrum

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Projects under taken so far

Duration of the Project Details of the Project
Sept 2014 to Sept 2016 Location: BITS Pilani, Hyderabad campus, 500078, Telangana, India
Project: Cloud Investigator (Design and Development of Digital Forensic Tools for Cloud IaaS)
Team Size: 6
Role (Co-Investigator): Architect for Digital Forensics in cloud IaaS.
Cloud testbed: OpenStack (icehouse)
Description: Cloud forensics is a mechanism that provides the requisite tools for investigation and analysis of cloud security threats. Due to the decentralized nature of data processing in cloud, traditional approaches to evidence collection and recovery are not practical.
The aim of this project was to design a generic digital forensic framework for the cloud crime investigation by identifying the challenges and requirements of forensics in the virtualized environment of cloud computing, address the issues of dead/live forensic analysis within/outside the virtual machine that runs in a cloud environment, and to design a digital forensic triage using parallel processing framework to examine and partially analyze the virtual machine data to speed up the investigation of the cloud crime. To analyze the evidence within the virtual machine, we designed various methods of examining the file system metadata, the registry file content, and the physical memory content. For the evidence which is outside a virtual machine (cloud logs), various methods of log data segregation and collection have been devised.
Nov 2005 to Mar 2011 Location: Center for Development of Advanced Computing (CDAC), Trivandrum – 695 033, Kerala, India
Project: CyberCheck (Digital forensic tool)
Team Size: 15

Module: 1
Role (Module Leader): Design and Development of CyberScript module.
Programming Language: VC++, MFC.
Description:
CyberCheck: Cyber Forensics tool for data recovery and analysis. It is windows based application which allows a user to analyse the hard disk content including deleted files, contents in the slack and swap areas
CyberScript:
Scripting is a programming facility, which can be effectively used for performing a batch search process in an evidence file to automate the analysis process. CyberCheck should provide this facility so that analyzing officers can plan the analysis in advance and get it done without much user interaction. The functionality of the module includes,
  • Searching for the files with given file attributes.
  • Searching for keywords within selected files/folders, entire evidence, or selected list (output of already executed script).
  • Searching for a string that matches a given regular expression
  • Searching for IP addresses, Web addresses, E-mail addresses, valid credit card numbers, etc.
It also provides a very good GUI, Syntax highlighting facility to enter the script in correct format. Using the GUI facility user can write, save and open the already existing script.

Module: 2
Team Size: 2
Role (Module Leader): Design and Development of in-place (Zero storage) carving of data.
Programming Language: VC++, MFC.
Description: Module for in-place carving of data provides a facility for extracting complete or fragments of different types of files. Usually traditional cyber forensic tools does not extract files from areas like unallocated clusters, lost clusters and slack spaces (especially disk slack). Using this module, investigator can recover known files from all these areas of storage media.
Nov 2009 to Mar 2011 Project: F-DAC (Forensic Data Carving Tool)
Team Size: 2
Role (Project Leader and Architect): Design and Development of F-DAC.
Programming Language: VC++, MFC.
Description: F-DAC is a forensic tool used for file carving. File carving is the process of recovering files from a disk without the help of a file system. Using Header/Footer carving method for this purpose. Header/Footer is a method of carving files from a binary image using a distinct header (start of file marker) and footer (end of file marker).

Project: Data Extractor
Team Size: 1
Role: (Project Leader and Architect): Design and Development of Data Extractor.
Programming Language: VC++, MFC.
Description: Data Extractor is a database application, using which user can filter database content using SQL query. GUI is provided to the user to write a query and extract the database content based on the written query.

Project: FIRT (Forensic Image Recovery tool) based on skin tone filtering technique.
Team Size: 2
Role (Project Leader and Architect): Design and Development of FIRT.
Programming Language: VC++, MFC.
Description: FIRT is a forensic tool used to retrieve all picture files from a digital media/image. Files are retrieved using distinct headers of the files. We use file system information to retrieve undeleted files and data carving methods to retrieve deleted files. This tool uses skin tone detection techniques to identify a pornography picture file.

Research Publications


  • Pranitha Sanda, Digambar Pawar, and V. Radha. "Blockchain-based tamper-proof and transparent investigation model for cloud VMs", The Journal of Supercomputing (2022), pp. 1-29. <IF:2.557>

  • Pranitha Sanda, Digambar Pawar, and V. Radha. "An insight into cloud forensic readiness by leading cloud service providers: a survey", Computing (2022), pp. 1-26. <IF:2.420>

  • Raghavendra Gowada and Digambar Pawar. "Porn Image Forensics: Image Classification, Forgery Detection and Localization" International Conference on Computing in Engineering & Technology (pp. 359-371). Springer, Singapore, 2022

  • Pranitha Sanda, Digambar Pawar, and V. Radha. "VM Anti-forensics: Detecting File Wiping Using File System Journals", International Conference on Computing in Engineering & Technology (pp. 497-508). Springer, Singapore, 2022.

  • Digambar Pawar and Mayank Gajpal. "Image Forensic Tool (IFT): Image Retrieval, Tampering Detection, and Classification", International Journal of Digital Crime and Forensics (IJDCF), 13.6 (2021),pp. 1-15.

  • Tasleem Sulthana and Digambar Pawar. "Digital Forensic Investigator for Cloud Computing Environment", Computer Communication, Networking and IoT, Springer, Singapore, 2021, pp. 53-61

  • Raghavendra Gowada, Digambar Pawar, and Satish Reddy Tetali. "Multimedia Forensics-An approach to detect and analyze Human faces in multimedia files", 2019 Fifth International Conference on Image Information Processing (ICIIP), (pp. 274-279). IEEE

  • Digambar P., and Dr. Geethakumari, “Digital Forensic Architecture for Cloud Computing Systems: Methods of Evidence Identification, Segregation, Collection and Partial Analysis”, Third International Conference on INformation systems Design and Intelligent Applications - INDIA-2016, Advances in Intelligent Systems and Computing (AISC) series, Vol. 433, pp. 213-225 (Springer)

  • Digambar P., Saibharath and Dr. Geethakumari, “Real-time digital forensic triaging for cloud data analysis using MapReduce on Hadoop framework”, International Journal of Electronic Security and Digital Forensics, Inderscience Publishers, Vol. 7, Issue No. 2, pp. 119-133, 2015

  • Meera G, B K S P Kumar Raju, Digambar P., and Dr. Geethakumari, “A strategy for enabling forensic investigation in cloud IaaS”, Proceedings of the 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, IEEE ICECCT 2015, March 05-07, 2015, India, Proceedings in IEEE Explore

  • Digambar P., and Dr. Geethakumari, "A Heuristic Model for Performing Digital Forensics in Cloud Computing Environment", International Symposium on Security in Computing and Communications (SSCC-2014), Communications in Computer and Information Science (CCIS), Volume 467, 2014, pp 341-352, (Springer)

  • Shanti Swaroop Moharana, Rajadeepan D. Ramesh and Digambar P., “Analysis of load balancers in cloud computing”, International Journal of Computer Science and Engineering (IJCSE), Vol. 2, Issue 2, pp. 101-108, 2013

  • Digambar P., and Dr. Geethakumari, “A Novel approach to Detect Cloud Virtual Machines hidden using Alternate Data Streams”, Proceedings of the IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s-2013, March 22-23, Kottayam, India, 2013, pp. 835-839

  • Digambar P., and Dr. Geethakumari, “Digital Evidence Detection in Virtual Environment for Cloud Computing”, Proceedings of the ACM International Conference on Security of Internet of Things, SecurIT’12, August 17-19, Kollam, India, 2012, pp.102-106

  • Digambar P., Divya S. Vidyadharan and Thomas K.L, “Digital image evidence detection based on skin tone filtering technique“, in International conference on advances in computing and communications, ACC 2011, Part I, CCIS 190, PP. 544-551, 2011(Springer)

  • Digambar P. and V.K. Bhadran, “Forensic Data Carving”, ICDF2C 2010, LNICST 53, pp. 137-148, 2010

Students

PhD:

Student Details Area of research Educational Background
Raghavendra Gouda (18MCPC02) Multimedia forensics ME
Pranitha (19MCPC01) Cloud VM forensics M.Tech (CSE), B.Tech (IT)
Neha Kaliya (20MCPC01) Fog Security - Authentication M.Tech (CS-Information Security), B.tech (CSE)


M.TECH:

Year Student Details
2021-2023
(Ongoing)
  1. M.Yashwanth (21MCMI04)
    Title: Evaluation of transfer learning approaches for deepfake detection in images
  2. Adesh raut (21MCMT25)
    Title: Fog Security - Authentication
  3. Keshav (21MCMB07)
    Title: Open source file system (BTRFS) forensics
  4. Vivek Yadav Gorla (21MCMI02)
    Title: Internship project
2020-2022
  1. Thota Sriram (20MCMT33)
    Title: Secure Key management scheme and user authentication protocol for Fog computing
  2. G.Vinay Kumar Reddy (20MCMT10)
    Title: Blockchain based VM Logging Facility for Cloud Forensics
  3. Mahammad Salman Shaik (20MCMT04)
    Title: Digital Video Forgery Detection using Deep Learning
  4. Ali Akber Faiz (20MCMT03)
    Title: Implementing Fog Computing Architecture using AWS IoT Greengrass
2019-2021
  1. Biplab Barman (19MCMT04)
    Title: Human Activity Recognition for Video Surveillance
  2. Santhosh Kumar R (19MCMB18)
    Title: Image Forgery Detection, Classification and Localization using Deep Learning techniques
  3. Juhi Kumari (19MCMT50)
    Title: Anti-Forensic Detection Based On File Metadata For Windows And Linux Cloud VMs
  4. Khadeeja Mastoor (19MCMT40)
    Title: Blockchain based Decentralized Investigation model for Cloud VMs
2018-2020
  1. Mayank Gajpal (18MCMT35)
    Title: Digital Image Tamper Detection
  2. Tasleem Sulthana (18MCMT17)
    Title:Data Segregation and Acquisition in Cloud Environment
  3. Rohit Kumar (18MTIS08)
    Title: Tampering Detection and Prevention in E-Commerce Transactions
2017-2019
  1. Pritam Kadasi (17MCMT32)
    Title: Detection and Analysis of the TOR : The Anonymous Communication
  2. T. Sathi Reddy (17MCMI08)
    Title: Multimedia Forensics - An approach to detect and analyze Human faces in multimedia files
  3. V Chetan Anand (16MCMT38)
    Title: Keyword Search over Distributed Graph with Compressed Signature


MCA:

Year Student Details
2021-2022
  1. Deeksha Tiwari (19MCMC16)
    Title: Design of UI Modules for KIMS Referral Management System Smartphone Application
  2. Riya (19MCMC30)
    Title: Ratings Ops Workflow 2.O (Oracle to Postgres Data Migration)
2019-2020
  1. Poonam Verma (17MCMC17)
    Title: Business Management Portal
  2. Praveen Mishra (17MCMC15)
    Title:Automation of Bynet Failure Fault Injection Test
2018-2019
  1. Snehitha G (16MCMC17)
    Title: Form Grabbing Malware Analysis
  2. HimaBindhu Chilumulla (16MCMC14)
    Title: Form Grabbing Malware Analysis
2017-2018
  1. Santosh Kumar (14MCMC11)
    Title: Forensic Data Carving


Current Semester:

  • Database Management Systems

  • Database Management Systems Lab

Previous Semesters:

  • Ethical Hacking and Computer Forensics

  • Information Security

  • Data and File Structures

  • Advanced Computer Architecture

  • Object Oriented Design

  • Java Programming lab

Contact

Dr DIGAMBAR PAWAR
Associate Professor,
School of Computer and Information Sciences,
University of Hyderabad, P.O. Central University, Hyderabad, TS, India.
Pin 500046.
Email: dpr@uohyd.ac.in