Abstract
Computer technology is the major integral part of everyday human life, and it is growing rapidly, as are computer crimes such as financial fraud, unauthorized intrusion, identity theft and intellectual theft. To counteract those computer-related crimes, Computer Forensics plays a very important role. The Computer Forensics involves in general involves obtaining and analysing digital information for use as evidence in civil, criminal or administrative cases. Digital evidence is a time fragile in nature. The faster evidence identification and collection the more information can possibly gathered to develop a better case to be presented in the court room. The general objective of this study is to measure the combination of innovation adoption models such as Tomatzky's TOE, Rogers' DOI, Benbasat's Perceived Characteristic of Innovation and Iacovou models with the IAAC's Action Plan of Corporate Computer Forensics Investigation among Malaysia's Critical Information Infrastructure agencies. The research result demonstrates the level of innovation adoption antecedents to the Corporate Computer Forensics Investigation among the National Critical Information Infrastructure (NCII) of Malaysia agencies. The questionnaires were distributed among IT staffs in the agencies' IT departments that covered total number of 201 respondents. The data then analysed with SPSS and validated, described, tested and produced the recommendation at the end of the study. A total of 6 hypotheses were found supported while two were found otherwise. The organizational antecedence was not found significant to the Early Measure and Investigation Process of the IAAC respectively. The findings have also unlocked the grounded assumptions on the relationship theory between the determinant factors of the innovation adoption with the three stages of Information advisory Assurance Council of UK; Anticipatory Measure, Process and Post-Incident stages.
Metadata
Item Type: | Thesis (PhD) |
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Creators: | Creators Email / ID Num. Wan Abdullah, Wan Abdul Malek 2004361022 |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Noordin, Siti Arpah UNSPECIFIED Thesis advisor Abdullah San, Mad Khir Johari UNSPECIFIED |
Subjects: | H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Crimes and offenses > Computer crimes |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Information Management |
Programme: | Doctor of Philosophy |
Keywords: | Computer forensic, investigation, cyber crimes |
Date: | 2018 |
URI: | https://ir.uitm.edu.my/id/eprint/82149 |
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