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Network Forensics Tools in a Mixed-Network Environment and the Adoption of E-Voting System in Developing Countries

Jonathan, Oluranti and Olajide, Funminiyi and Ayo, C. K. (2016) Network Forensics Tools in a Mixed-Network Environment and the Adoption of E-Voting System in Developing Countries. International Journal of Pharmacy and Technology, 8 (4). pp. 23115-23128.

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This paper unveils e-voting malpractices and discusses the application of network forensic tools. The paper also presents an introduction to digital forensics with emphasis on network forensics for acquiring digital evidence in a networked environment of an e-voting system. The research adopts qualitative assessment of the various issues of crime or malpractices in e-voting system as it relates to a network environment or distributed applications. Computer networking forms the bedrock of the operating platforms for most modern business organizations and more recently, distributed applications. This research brings to light the various possible anomalies or issues that a typical e-voting system in a network environment may witnesses per phase of the election. The phases of a typical election include registration, authentication, voting and vote counting and reporting. The research also presents various network forensic tools that can serve to mitigate or eliminate some of the identified anomalies. This research is suitable for election forensics as it will lead to the evidence required to authenticate the transparency and accuracy or otherwise, of a given election. Thus e-voting falls under the category of network-based applications for which network forensics is applicable. The tools recommended are proven tools for forensic investigation and will also serve for electronic-based elections that is, e-voting.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mr Adewole Adewumi
Date Deposited: 18 Dec 2017 22:35
Last Modified: 18 Dec 2017 22:35

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