Browsing by Author "Mbuguah, Samwel Mungai"

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A Survey of Awareness of Social Engineering Attacks to Information Security Management Systems: The Case of Kibabii University Kenya
(International Journal of Computer Applications Technology and Research, 2022-03-26) Mbuguah, Samwel Mungai; Otibine, Tobias Okumu
Computer based systems are socio-technical systems in nature. The security of the system depends both on technical aspect and also social aspect. The social aspect refers to people in contact with system commonly referred to as wetware. To attack the system you may consider to target the technical or wetware. Social engineering is based on exploiting human traits that make human susceptible to these attacks. The aim of this paper was establish how aware the staff of Kibabii University were of these attributes and how these attributes could be used by social engineers to penetrate the Information Security Management systems at the institution. A survey research was adopted with a questionnaire being developed using Google application, and was administered online to all staff members of Kibabii University. A descriptive analysis was carried out on feedback. The finding was that to a large extent the sampled staff are aware of these traits but there is need for awareness training to enhance the information security management system of Kibabii University
Baseline Survey on Software and Tools for Odel and Digital Learning during and Post Covid 19 in Selected Universities in Kenya
(International Journal of Computer Applications Technology and Research, 2024) Mbuguah, Samwel Mungai; Njoki, Catherine; Wekesa, Ben Nyongesa; Njuguna, Alice; Ikoha, Anselmo Peters; Barasa, Cyrus; Makokha, John; Nambiro, Alice
One the mitigating measures adopted against the spread of COVID-19 was closure of business, suspension of face to face learning in institution of learning in Kenya and cancellation of international flights worldwide. There was also enforced locked down within highly infected areas. To survive educational institutions adopted mainly online/digital learning. In this paper we provide findings on a survey conducted in selected eleven universities in Kenya on the status of the soft wares and tools that facilitate online/ digital learning. The finding indicate that even though the universities had adopted blended learning the soft wares and tools are still a challenge. The Paper recommends the need of the institutions to enhance the acquisitions of tools and soft wares for an enhanced digital learning and inclusion..
Implementation evaluation metrics for ERP solution: A case of Kibabii University
(IGI Global, 2020) Mbuguah, Samwel Mungai; Wabwoba, Franklin; Wanjala, Chrispus Kimingichi
Most institution of higher learning are implementing enterprise resource planning (ERP) in automating various activities. The architecture of most of the ERP is based on the service-oriented architecture (SOA) where each module can be called as service. In most of the contracts signed between the vendor and the university, payment is tied to the level of implementation. The question is how to then measure the level of implementation. This chapter proposes a metric that could be used. The metric was derived based on an acceptance test on each of functionality of module as per terms of reference. The result of a test was rated as a fail; the result was then coded such that a fail was assigned a zero (0), pass one (1), and query a half (½), from which a metric was derived which measures the level implementation.
Webometrics User Ranking Analysis Model Development and Validation
(International Journal of Computer and Organization Trends, 2022-04-26) Mukanda, Adeline; Mbuguah, Samwel Mungai; Wabwoba, Franklin
The webometrics user ranking analysis model was developed and validated. The need for the model arose as directorates of ICT in Kenyan Universities were assigned the challenge of improving their university's webo ranking. Webo ranking is the preferred method of the universities to showcase their niche and what they do to the global community. There are no published models for webometrics ranking. This leads to each university taking different approaches. In this paper, a model has been developed and validated.