Forensic triage in live system (Record no. 6486)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01384nam a22001937a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220107122850.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190618b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | IIITMK |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Kamalraj M (93617021) |
| 9 (RLIN) | 15813 |
| 245 ## - TITLE STATEMENT | |
| Title | Forensic triage in live system |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | MSC CS 2017-2019 |
| 500 ## - GENERAL NOTE | |
| General note | In this modern technological era, the quantity of digital data to be examined<br/>for each forensic case is increasing regularly as storage capacity expands.Although<br/>many forensic analysts come into the job is not solving the<br/>backlog issue, the solution to this data volume challenge is an eective digital<br/>forensic triage tool that uses an ecient way of collecting the data and classify<br/>them. Apparently, only a handful of researches has yet been published for<br/>the forensic triage tools capable of performing classications of data. This<br/>work explores the development of a forensic triage tool for live systems that<br/>can extract the data artifacts from the acquired RAW le and analyze them<br/>using machine learning techniques. After analyzing the results it is viewed in<br/>the tool by a graphical form which helps the investigator to decide on which<br/>data he must focus on. |
| 502 ## - DISSERTATION NOTE | |
| Degree type | MSC CS |
| Name of granting institution | 2017-2019 |
| Year degree granted | INT |
| -- | Md. Meraj Uddin |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | FORENSIC TRIAGE |
| 9 (RLIN) | 15814 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | DIGITAL FORENSIC TRIAGE |
| 9 (RLIN) | 15815 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | MACHINE LEARNING |
| 9 (RLIN) | 15816 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Non Fiction | IIITM-K | Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre | 18/06/2019 | R-1490 | 18/06/2019 | 18/06/2019 | Project Reports |