Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani

Forensic investigator across the globe getting busy each and every day getting complain from people about the social network abuse but they have difficulty in acquiring the evidence. According to the investigator from Digital Forensic Department of Malaysian Communication and Multimedia Commission (...

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Bibliographic Details
Main Author:	Khairani, Muhammad Syazwan
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Police Detectives Constabulary
Online Access:	https://ir.uitm.edu.my/id/eprint/107386/1/107386.pdf
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id	my-uitm-ir.107386
record_format	uketd_dc
spelling	my-uitm-ir.1073862024-12-09T09:17:53Z Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani 2013 Khairani, Muhammad Syazwan Police. Detectives. Constabulary Factor analysis. Principal components analysis. Correspondence analysis Forensic investigator across the globe getting busy each and every day getting complain from people about the social network abuse but they have difficulty in acquiring the evidence. According to the investigator from Digital Forensic Department of Malaysian Communication and Multimedia Commission (MCMC), they state that when a crime happened they usually having difficult times to trace and identify the criminal inside Local Area Network environment. Social Network Anomaly Keyword Detector (SNeAKeD) is a tool that can capture all the keystroke and information press by the user from their machines keyboard. SNeAKeD use the concept of keylogger. SNeAKeD can remotely send evidence from the client computer to the server database. Thus create a tools that can work invisibly behind the client computer. The type of data will be capture and analyse is text file where further enhancement of data type will be enhance in the future project. At the end of the project, SNeAKeD is expected to assist the digital forensic investigator to acquire evidence easily and accurately without complex hassle that they have to face before. 2013 Thesis https://ir.uitm.edu.my/id/eprint/107386/ https://ir.uitm.edu.my/id/eprint/107386/1/107386.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Mohd Ali, Fakariah Hani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Mohd Ali, Fakariah Hani
topic	Police Detectives Constabulary Police Detectives Constabulary
spellingShingle	Police Detectives Constabulary Police Detectives Constabulary Khairani, Muhammad Syazwan Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
description	Forensic investigator across the globe getting busy each and every day getting complain from people about the social network abuse but they have difficulty in acquiring the evidence. According to the investigator from Digital Forensic Department of Malaysian Communication and Multimedia Commission (MCMC), they state that when a crime happened they usually having difficult times to trace and identify the criminal inside Local Area Network environment. Social Network Anomaly Keyword Detector (SNeAKeD) is a tool that can capture all the keystroke and information press by the user from their machines keyboard. SNeAKeD use the concept of keylogger. SNeAKeD can remotely send evidence from the client computer to the server database. Thus create a tools that can work invisibly behind the client computer. The type of data will be capture and analyse is text file where further enhancement of data type will be enhance in the future project. At the end of the project, SNeAKeD is expected to assist the digital forensic investigator to acquire evidence easily and accurately without complex hassle that they have to face before.
format	Thesis
qualification_level	Bachelor degree
author	Khairani, Muhammad Syazwan
author_facet	Khairani, Muhammad Syazwan
author_sort	Khairani, Muhammad Syazwan
title	Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
title_short	Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
title_full	Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
title_fullStr	Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
title_full_unstemmed	Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani
title_sort	social network anomaly keyword detector (sneaked) of investigation information autopsy (iia) / muhammad syazwan khairani
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/107386/1/107386.pdf
_version_	1818588222730534912

Social network anomaly keyword detector (SNeAKeD) of investigation information autopsy (IIA) / Muhammad Syazwan Khairani

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