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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Journal of Information Systems and Informatics
Elegbeleye, Femi Abiodun
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Computer Science & IT Engineering

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Cost-effective internet of things privacy-aware data storage and real-time analysis Elegbeleye, Femi Abiodun; Mbodila, Munienge; Esan, Omobayo Ayokunle; Elegbeleye, Ife
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp247-255

Abstract

It has been estimated that about 20 billion internet of things (IoT) devices are currently connected to the Internet. This has led to voluminous data generation which makes storaging, managing, and decision making on data to be challenging. Hence, exposes users’ privacy to be vulnerable to unauthorized people. To address these issues, this research proposed cost-effective storage for keeping and processing the IoT data in real-time. The proposed Fframework utilized a reliable hybridised data privacy model to protect the personal information of users. An empirically evaluation was done to identify the best models using data k-anonymity (KA), l-diversity (LD), t-closeness (TC), and differential privacy (DP). The performance evaluation of cloud computing and fog computing was done through simulations. The results obtained show that the combination of two data privacy models: differential privacy and k-anonymity models performed better than any individual model and any other combined models in the protection of users’ personal information. Lastly, fog computing was found to perform better than the cloud in terms of latency, energy consumption, network usage and execution time. In conclusion, the current study strongly recommends the use of hybridised privacy model of differential privacy (DP) and k-anonymity (KA) for the protection of IoT generated data privacy.
Optimization of Network Performance in Complex Environments with Software Defined Networks Mbodila, Munienge; Esan, Omobayo Ayokunle; Elegbeleye, Femi Abiodun
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.818

Abstract

Software-defined networks (SDN) have emerged as a promising approach to address the limitations of conventional networks. Its architecture can be implemented using either a single controller or multiple controllers. Although a single controller is inadequate for managing networks, deploying multiple controllers introduces the challenge of controller placement (CPP) in a network environment. To address these issues, this study presents a Software Defined Networks-Fault-Tolerant Method (SDN-FTM) where, in the event of a network failure, the SDN controller automatically reroutes traffic through an alternate, pre-configured network path, thereby maintaining uninterrupted service. The proposed SDN-FTM was tested and evaluated in real-time using Mininet simulation tools on a real-life small scale network data from tracking unit department in Walter Sisulu University (WSU), with a focus on performance measures such as latency and throughput. From the result obtained, the proposed method produced throughput and latency on Ryu with 2.15m/s and 18408m/s respectively. Furthermore, the findings indicate that Ryu controllers generally outperform OpenFlow controllers in terms of throughput, while OpenFlow controllers exhibit lower latency. The proposed method demonstrates significant improvements in network management by providing a robust solution for maintaining high network availability and performance in the presence of faults
Evaluation of ICT Migration Plans in a Select Number of Companies in South Africa Elegbeleye, Femi Abiodun; Elegbeleye, Ife Fortunate; Oguntona, Olusegun
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.954

Abstract

The rapid evolution of the Information and Communication Technology (ICT) industry has made ICT migration a critical component for companies seeking to enhance productivity, efficiency, and competitiveness. However, migration often presents challenges, including high costs, system compatibility issues, cybersecurity risks, and employee resistance to change. This study evaluates the ICT migration plans of selected companies in South Africa, examining their strategies, challenges, and overall effectiveness. Using a mixed-methods approach, the research integrates qualitative and quantitative data collected through interviews, surveys, and document analysis. Companies are selected through purposive sampling to ensure diversity in industry, size, and ICT readiness. The study focuses on analyzing existing ICT infrastructure, identifying migration obstacles, assessing the success of implemented plans, and providing recommendations for improvement. Key assessment areas include cost-effectiveness, system scalability, cybersecurity measures, employee training, and post-migration performance. The findings of this study will contribute to the existing literature on ICT migration while offering practical insights for businesses aiming to implement or refine their migration strategies. Additionally, it will provide valuable recommendations for industries and IT professionals, facilitating smoother and more efficient ICT transitions in South Africa.
Blockchain and IoT for Sustainable Agriculture: Innovations and Impacts Elegbeleye, Femi Abiodun; Oguntona, Olusegun; Elegbeleye, Ife
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1136

Abstract

The integration of Blockchain and the Internet of Things (IoT) is emerging as a transformative force in sustainable agriculture. This review explores the synergistic potential of these technologies to enhance transparency, traceability, resource efficiency, and resilience in agricultural systems. We conducted a systematic review of peer-reviewed articles and conference proceedings published between 2015 and 2024, sourced from databases such as IEEE Xplore, Scopus, ScienceDirect, and SpringerLink. Studies were selected based on relevance to agricultural sustainability, the implementation of IoT and blockchain, and empirical or conceptual insights. The findings reveal that IoT devices enable real-time data collection and monitoring, while blockchain ensures secure, immutable records for supply chain transparency and smart contracts. Despite their promise, challenges persist, including high implementation costs, scalability issues, and limited digital infrastructure in rural areas. The review underscores the need for collaborative frameworks and policy support to foster adoption and recommends future research to focus on hybrid models and localized applications.
Co-Authors Elegbeleye, Ife Elegbeleye, Ife Fortunate Esan, Omobayo Ayokunle Mbodila, Munienge Oguntona, Olusegun