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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| Format: | Thesis |
| Language: | English |
| Published: |
2013
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| Subjects: | |
| Online Access: | https://ir.uitm.edu.my/id/eprint/107386/1/107386.pdf |
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| Summary: | 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. |
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