Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/481286
Title: Integrated fusion model for efficient deduplication by collecting digial evidence
Researcher: Senthil, P
Guide(s): Selvakumar, S
Keywords: Engineering and Technology
Computer Science
Computer Science Information Systems
Integrated Fusion
Efficient Deduplication
Digital Evidence
University: Anna University
Completed Date: 2022
Abstract: Information is highly beneficial in the judiciary and crime investigation applications for the protection of human rights. Data security is highly significant in the field of Digital Forensic Investigation, as the information confined in the proof is more sensitive and confidential. The security measures and protocols differ depending on the services and applications. Hence, there is a need for a high level of data security during the collection, study, and assessing of digital evidence, particularly in the forensic investigations. The major objective of digital data security is to safeguard the multimedia data in an inspection pattern depending on the automatic classification and deduplication techniques. In the current state, during the presence of more eye witnesses at the crime scenes, digital or virtual evidence plays a vital role in the legal system, as the digital evidence is more reliable than eyewitness. Improving the safety and integrity of the virtual/digital evidence is needed in the forensic investigation, legal and judiciary systems. Once an individual wants to share the virtual/digital evidence to a remote cloud server, a trustworthy and effective channel for data transmission between the individual user and the cloud server is desired. A digital forensic administrator should manage the communication/transmission of the evidence. Conventionally, third-party auditing is required while using the virtual/digital evidence collection system. newlineThe proposed model presents an efficient system for collecting the virtual/digital evidence and securing the collected evidence by using an integrated fusion platform. newline
Pagination: xvii,137p.
URI: http://hdl.handle.net/10603/481286
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File24.3 kBAdobe PDFView/Open
02_prelim pages.pdf669.95 kBAdobe PDFView/Open
03_content.pdf186.83 kBAdobe PDFView/Open
04_abstract.pdf182.64 kBAdobe PDFView/Open
05_chapter 1.pdf12.69 MBAdobe PDFView/Open
06_chapter 2.pdf16.9 MBAdobe PDFView/Open
07_chapter 3.pdf14.3 MBAdobe PDFView/Open
08_chapter 4.pdf9.14 MBAdobe PDFView/Open
09_chapter 5.pdf6.6 MBAdobe PDFView/Open
10_chapter 6.pdf1.34 MBAdobe PDFView/Open
11_annexures.pdf187.19 kBAdobe PDFView/Open
80_recommendation.pdf2.73 MBAdobe PDFView/Open
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