Academic Publications

Authors: VC Chukwu

Authors: P Adiele

Authors: OY Bayo

With technology impacting several sectors, it can be imagined that the financial sector has a lot to benefit from the increasing level of technological innovations. These institutions take from the surplus of the economy and lend to the deficit sectors of the economy. Individuals and organizations obtain credit facilities from financial institutions to meet basic needs and boost their businesses. However, the stability of the economy is better guaranteed when borrowers pay back the loans availed to them rather than default. This study aims to identify the effectiveness of Random Forest in credit scoring using 32,581 observations. The study proved that Random Forest provides better output accuracy of 91% based on Gini Index for variable selection according to the level of importance when compared to Decision Tree with an output of 83%. It offers better credit scoring accuracy and credit rating as a result of its classification power. The objective of the study is to point out the random forest predictive strength using an unprocessed German credit dataset from Kaggle and to provide an explainable framework sufficient for Financial Institutions and banks to make decisions when granting loans to existing and new applicants.

Authors: SA Owolabi, OA Odunlade, OO Amosun

The security architecture of 4G LTE standardized by Third Generation Partnership Project (3GPP) may deceive Mobile Network Operators (MNOs) into a sense that the network is completely free of threats and risks. 4G LTE has known security and privacy vulnerabilities in its specifications. The 3GPP deferred these threats and risks to the MNO. MNOs are left to manage both LTE and IP based security vulnerabilities during its service and operations to the subscribers. Hence MNOs has complex security to manage in the 4G LTE network. This paper propose a security management model for 4G LTE wireless network. MNOs should consider the security management model when operating 4G LTE networks.

Authors: RK Jena, S Bandyopadhyay, UK Pradhan, PC Moharana, N Kumar, ...

Authors: SO Deborah, OO Eunice

Cloud computing is a groundbreaking technique that provides a whole lot of facilities such as storage, memory, and CPU as well as facilities such as servers and web service. It allows businesses and individuals to subcontract their computing needs as well as trust a network provider with its data warehousing and processing. The fact remains that cloud computing is a resource‐finite domain where cloud users contend for available resources to carry out desired tasks. Resource management (RM) is a process that deals with the procurement and release of resources. The management of cloud resources is desirable for improved usage and service delivery. In this paper, we reviewed various resource management techniques embraced in literature. We concentrated majorly on investigating game‐theoretic submission for the management of required resources, as a potential solution in modeling the resource …

Authors: BOOTOA Ogundele Johnson Iyiola