I am currently Working as an Associate Professor in the School of Computer and Information Sciences, University of Hyderabad.
Digital Forensics, Cloud Computing and allied areas, Information Security
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Qualification | Details |
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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 |
A total of 20+ Years of experience: 14+ 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 |
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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 |
Duration of the Project | Details of the Project |
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Dec 2022 to Jan 2025 |
Project: MFT: Multimedia Forensic Tool - Image and video forgery detector Team Size: 6 Role (PI/Co-PI): Principal Investigator. Location: University of Hyderabad, Hyderabad - 500 046, Telangana, India Funding Agency: Institutes of Eminence (IoE), GOVT. of India Total grant: 21.40 Lakhs Description: With drastic increase in multimedia files particularly video and images, the authentication of these files face humongous challenge due to various forgery techniques available in the literature. Cyber criminals are taking advantage of these forgery techniques and creating false information that can mislead the court of law. To analyse these types of files to check the integrity or forgery, we require multimedia forensic tools. In the literature, there are various image/video forgery detection techniques which require the original source files. The major challenge in performing multimedia forensics is that the source files are unavailable during forensic investigation. Generally, during digital forensic analysis, only forged files are available and not the original. In this research project, we propose a prototype model in the form of a tool that will detect tampering in the images and videos for which the source is unavailable and localize the area of the forgery. |
Sept 2014 to Sept 2016 |
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. Location: BITS Pilani, Hyderabad campus, 500078, Telangana, India Funding Agency: Department of Electronics and Information Technology (DeiTY), GOVT. of India Total grant: 54.96 Lakhs 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,
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. |
Student Details | Scholarship | Area of research/Title | Status of the research | Educational Background | |
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Raghavendra Gouda (18MCPC02) | QIP | Image and Video Forgery Identification and Localization from Multimedia Forensics Perspective | Completed | ME | |
Pranitha (19MCPC01) | IDRBT Research Fellowship | Cloud Virtual Machine Forensics - An Anti-forensic Perspective | Completed | M.Tech (CSE), B.Tech (IT) | |
Neha Kaliya (20MCPC01) | JRF | Fog Security - Authentication | Ongoing | M.Tech (CS-Information Security) | |
Sonam Sharma (22MCPC10) | PMRF (Prime Minister's Research Fellowship) | Hardware Security | Ongoing | M.Tech (Artificial Intelligence) | |
G. SRIKANTH REDDY (22MCPC12) | NIL (Part time) | Multimedia Forensics | Ongoing | M.Tech (SE) |
Year | Student Details |
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2023-2025 (Ongoing) |
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2022-2024 |
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2021-2023 |
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2020-2022 |
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2019-2021 |
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2018-2020 |
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2017-2019 |
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Year | Student Details |
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2021-2022 |
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2019-2020 |
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2018-2019 |
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2017-2018 |
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