A MODEL FOR SECURING E-EDUCATIONAL DATA FROM INSIDER THREATS USING BLOCKCHAIN TECHNOLOGY
No Thumbnail Available
Date
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Description
Personnel with authorization and system administrator’s privileges to the institution's secret information or Internet protocol (IP) addresses are capable of causing internal threats. There is, therefore, the need for institutions to provide a protection mechanism towards detecting insider threats occurrence route. Educational data should be upheld with the utmost integrity. Insider threats have harmed large educational institutions such as national examination boards, amongst others. Furthermore, security concerns in standardized school examinations, like insider threat, has always been a major problem that is yet to be fully addressed in educational institutions. The objective of this research is to build a model using Blockchain technology to protect e-educational data against insider threats. The methodology and techniques engaged include Blockchain Technology, Trust Function Model, Asymmetric Cryptology Model, Netlogo Model App, Ethereum, Proof of Authority Front end implementation using JavaScript, MetaMask, Microsoft Visual Studio, MongoDB, Remix, and Ganache for the backend dashboard web application. The experimental findings indicate that Blockchain system rate of recurrence of insider threat is about 30% minimum when compared with the existing model that has 70%. The developed Blockchain model can handle up to one thousand operational transactions with ease to reduce insider threats.
Keywords
QA75 Electronic computers. Computer science