000			01384nam a22001937a 4500
003			OSt
005			20220107122850.0
008			190618b xxu||||| |||| 00| 0 eng d
040			_cIIITMK
100			_aKamalraj M (93617021) _915813
245			_aForensic triage in live system
300			_aMSC CS 2017-2019
500			_aIn this modern technological era, the quantity of digital data to be examined for each forensic case is increasing regularly as storage capacity expands.Although many forensic analysts come into the job is not solving the backlog issue, the solution to this data volume challenge is an eective digital forensic triage tool that uses an ecient way of collecting the data and classify them. Apparently, only a handful of researches has yet been published for the forensic triage tools capable of performing classications of data. This work explores the development of a forensic triage tool for live systems that can extract the data artifacts from the acquired RAW le and analyze them using machine learning techniques. After analyzing the results it is viewed in the tool by a graphical form which helps the investigator to decide on which data he must focus on.
502			_bMSC CS _c2017-2019 _dINT _eMd. Meraj Uddin
650			_aFORENSIC TRIAGE _915814
650			_aDIGITAL FORENSIC TRIAGE _915815
650			_aMACHINE LEARNING _915816
942			_2ddc _cPR
999			_c6486 _d6486