Magalingam, Pritheega (2008) Comprehensive analysis on hardware forensic for gambling machine. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
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Abstract
Hardware forensic analysis involves process of analyzing digital evidence derived from digital sources in order to facilitate and prove either the device is used to commit crime, contains evidence of crime or it is a target of crime. The digital evidence is analyzed to determine the type of information that is stored. For this purpose special tools might be needed to translate the digital information in a format that is useful to the investigators. Besides other electronic devices that commonly encountered in crime scenes such as computer systems, access control devices, answering machines, personal digital assistants, modems, network components, pagers and etc. which can produce digital evidence, law enforcement also shows their wide concern towards gambling machine which is the main source of conducting illegal game. An illegal game is defined by the law as a game which a player can win money or gifts by the game results and the results is based on chances. Law forbids conducting or involving in such games. This project presents information retrieval method from a gaming machine which was seized and analysis on the information interpreted to prove that the gaming machine is used illegally. These procedures were required by PDRM which will be part of gambling machine forensic process and it will assist them in digital forensic evidence analysis as a guideline to produce evidence which is relevant to prove the illegal gambling.
Item Type: | Thesis (Masters) |
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Additional Information: | Supervisor : Prof. Dr.Azizah bte Abdul Manaf |
Uncontrolled Keywords: | hardware forensic, gambling machine, crime |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science and Information System |
ID Code: | 9458 |
Deposited By: | Narimah Nawil |
Deposited On: | 24 Nov 2009 01:49 |
Last Modified: | 04 Jul 2018 11:47 |
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