Faculty of Computing

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Subject: search.filters.subject.Cybersecurity awareness

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    An assessment of cybersecurity awareness level among Northeastern University students in Nigeria
    (International Journal of Electrical and Computer Engineering, 2022-02-01) Abdullahi, Adamu Garba; Maheyzah Muhamad Siraj; Siti Hajar Othman
    The world economy today has adopted the internet as a medium of transactions, this has made many organizations use the internet for their daily activities. With this, there is an urgent need to have knowledge in cybersecurity and also how to defend critical assets. The objective of this paper is to identify the level of cybersecurity awareness of students in Northeastern Nigeria. A quantitative approach was used for data collection and cyberbully, personal information, internet banking, internet addiction, and Self-protection were the items ask for cybersecurity awareness level identification. Descriptive analysis was performed for initial result findings using SPSS and OriginPro for graphical design. the preliminary result shows of the students have some basic knowledge of cybersecurity in an item like internet banking, while other items like cyberbully, self-protection and, internet addiction result show moderate awareness, the students' participation based on gender, males constitute 77.1% i.e. (N=340) and females constitute 22.9% i.e. (N=101). Future research would concentrate on designing awareness programs that would increase the level of their awareness especially the students in the Northeastern part of Nigeria.
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    An Approach To Weigh Cybersecurity Awareness Questions In Academic Institutions Based On Principle Component Analysis
    (INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, 2021-04-04) Abdullahi, Adamu Garba; Fathe Jeribi; Ibrahim Al-Shourbaji; Mohammed Alhameed; Faheem Reegu; Sophia Alim
    Cybersecurity knowledge is among the essential elements for both public and private organizations and individuals due to the advent of online activities that pose a threat to critical organizational information. Researchers have conducted much research to provide a solution on how to increase the level of cybersecurity awareness. The methods used by various researchers include qualitative, quantitative, or mixed-methods approaches to determine the level of cybersecurity awareness. This paper aims to identify the most critical questions asked using the quantitative approach as it is the most commonly used method. The paper examines a dataset used in the work of Al-Janabi and Al-Shourbaji using an unsupervised machine learning technique known as Principal Component Analysis (PCA) to identify the most critical questions. The result from the analysis indicates that only the first six PCs have eigenvalues greater than 1, which means that these components (i.e., questions) are the most crucial to be used in identifying the most accurate level of cybersecurity awareness. Furthermore, the result provides a new dimension of questions to be used in determining the awareness level as it has been verified using the PCA technique. The paper also gives further recommendations on how to increase the level of cybersecurity awareness among both the public and private sectors.