Browsing by Author "Ya’u Nuhu"

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CHOLERA PREDICTION MODEL USING FEATURE CLUSTERING BAYESIAN TECHNIQUE
(School of Mathematics and Computing, Kampala International University, 2021-12-31) Ya’u Nuhu; Yusuf Musa Malgwi; Abdullahi, Adamu Garba; Usman Muhammad Bala
Cholera is one the most deadly disease that is mostly caused due by poor sanitation or and drinking contaminated water or food with a bacterium called Vibrio Cholera. Many researchers have provided a solution to prevent the outbreak of cholera using various methods, the recent ones are using machine learning techniques and some mathematical methods such as mathematical epidemiological, spatial statistics, and based on association rule mining using the nonstandard distribution dataset to mention a few. These few methods are mostly used in predicting cholera outbreaks but have some limitations, such as using fewer features for prediction, waiting until certain cases are reported before getting data, based on Rainfall, based on the flowing speed of rivers, wind direction, and flood, etc. in this research a more comprehensive cholera features would be used in predicting an outbreak before it occurs based on the existing secondary dataset using The Naïve Bayesian Classification technique. The proposed model has more features and is not dependent on certain events to occur before predicting any outbreak. Python programming was used in implementing the proposed model. An accuracy of 99% was achieved and it shows it is better than the previous models used in predicting cholera outbreaks.
Review on Digital Forensic Framework and Its Applicability in Organization
(International Journal of Academic in Engineering Trends & Multidisciplinary, 2019-02-02) Abdullahi, Adamu Garba; Ibrahim Bukar Dauda; Ya’u Nuhu
The advance of the internet has made many business organizations conduct their operation automatically, this new way of doing business has also opened potentially harmful unforeseen information security incidents of both illegal and civil nature, with the potential to cause harm to the organization's business. Therefore, if an organization does not prepare itself for such incidents, it‟s likely that important relevant digital evidence will be damage. An organization not being able to respond effectively to an incident could affect the business. Forensic readiness is the capacity of an organization to exploit its prospective to use digital evidence whilst minimizing the cost of investigation subsequently, to prepare organizations for incident responses, the implementation of digital forensic readiness policies and procedures is important. In this research paper, the aims are to determine the concept of Digital forensic readiness (DRF) and how its strength and limitation would guide the organization to adopt the suitable framework for their organization. The review of the recent framework was achieved and its applicability was explained as well.