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All Journal Journal of Digital Learning and Distance Education Radinka Journal of Science and Systematic Literature Review
Dickson, Solomon Makasda
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Internet of Things (IoT) Data Communication Challenges, and Solutions Dickson, Solomon Makasda; Ijeoma Peace OKECHUKWU
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 2 No. 11 (2024): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v2i11.226

Abstract

IoT has become an integral part of our lives, and data communication is one of the most important aspects of IoT. IoT devices can exchange data with each other via secure communication channels. This study aimed to review the IoT data communication challenges and solutions This paper attempts to address the key challenges and solutions for effective IoT data communication, starting by exploring the current challenges of IoT data communication related to scalability, reliability, and security, potential solutions to these challenges, such as using a mesh network, centralized servers, and edge computing. In addition, the paper discusses the importance of proper authentication and authorization techniques to ensure secure communication between IoT devices. The potential of IoT data communication is vast and has the power to fundamentally transform our society. It is an exciting time to be involved in this field, and the future looks promising for the advancement of IoT data communication.  
Web Technology Skills Acquisition by Computer Science Students at Polytechnics In Akwa Ibom State, Nigeria Dickson, Solomon Makasda; Idayana ALABERE; Ijeoma Peace OKECHUKWU
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 2 No. 11 (2024): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v2i11.229

Abstract

The main aim of this study was to determine the level of web technology skills acquired by computer science students in polytechnics in Akwa Ibom State-Nigeria. The study adopted a descriptive survey research method. Two research questions were raised and two research hypotheses were formulated and tested at a 0.05 significant level. Six polytechnics are made up of two public and four private polytechnics. The sample sizes consist of 343 Computer Science Students for public and private polytechnics 157 and 186 respondents’ respectively. Based on the data analyzed, the finding revealed the result of mean and standard deviation on the level of acquisition of content design skills by public and private polytechnic computer science students. However, the extent of acquisition in public Polytechnics shows six very high levels (HL) and six high levels (HL) respectively, while the results for private Polytechnics show six high levels (HL) and six low levels (LL). This implies that public Polytechnic is doing better than private Polytechnics in the acquisition of content design skills in Akwa Ibom State. It was also revealed that the result of mean and standard deviation on the level of acquisition of graphic animation skills by public and private polytechnic computer science students. However, the extent of acquisition in public Polytechnics shows one very high level (VHL) and seven high level (HL) respectively, while the results for private Polytechnics show three high-level t (HL) and five low level (LL).
Cyber Security in the Age of the Internet of Things, Constraints, and Solutions Dickson, Solomon Makasda; OKECHUKWU, Ijeoma Peace
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 2 No. 11 (2024): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v2i11.233

Abstract

The Internet of Things (IoT) represents a paradigm shift in the way we interact with technology and the world around us. As the number of IoT devices continues to proliferate across various domains, ranging from smart homes to industrial settings, the vulnerabilities associated with this interconnected ecosystem become increasingly pronounced. This research aims to dissect the multifaceted challenges that arise in securing the vast network of interconnected devices, recognizing that the traditional approaches to cybersecurity may not suffice in this evolving environment. The objectives of the study are to comprehensively analyze these constraints, ranging from insecure IoT device configurations to potential data breaches and privacy concerns. The method adapted for this study is the V Model is a software development and testing methodology that emphasizes a structured approach to the development process. When applied to Cybersecurity and the Internet of Things (IoT) the V Model can be effectively utilized to address the unique complexities associated with securing interconnected devices. The adoption of a “security-by-design” philosophy emerges as a crucial aspect of mitigating IoT-related risks. Incorporating security measures from the inception of device development helps establish a robust foundation. The research anticipates contributing valuable insights to the ongoing discourse on cybersecurity, offering actionable recommendations for stakeholders navigating the intricate landscape of IoT security.
IoT-Enabled Smart Agriculture: a Pathway to Nigeria's Economic Recovery and Sustainable Dickson, Solomon Makasda; Ogbonnaya Okechukwu UKEGBU
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 2 No. 2 (2024): Radinka Journal of Science and Systematic Literature Review (RJSLR)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v2i2.252

Abstract

As Africa's largest economy, Nigeria has the potential to become a leading nation in economic recovery and sustainable development. The rapid growth of the Internet of Things (IoT) and the introduction of smart agriculture present an opportunity for Nigeria to create meaningful economic growth and improve livelihoods. This study is aimed at examining the potential of IoT-enabled smart agriculture to provide a pathway to economic recovery and sustainable development in Nigeria. The specific objectives are to review an overview of Nigeria's current agricultural sector and the challenges it faces, including security, privacy, cost, data management, energy, lack of access to knowledgeable farming techniques, and oversight of land use. The method adopted in this study was the incremental descriptive model (IDM). It then provides the potential solutions of IoT-enabled smart agriculture to address these challenges and provide Nigeria's agricultural sector with the resources it needs to both increase yields and improve environmental sustainability. Then it outlines the potential economic impacts of IoT-enabled Smart Agriculture, including increased productivity, improved farmers' access to modern technologies and services, and increased job opportunities for rural populations. It also focuses on the potential of the system to reduce greenhouse gas emissions, providing crucial support for Nigeria's ambitious climate ambitions. In conclusion, with the right policies and measures put in place, the system can provide a pathway for economic growth and environmental sustainability. Moreover, the potential of the system to reduce poverty and provide job opportunities for rural populations offers a crucial opportunity for Nigeria to remain competitive in the global economy while simultaneously supporting its environmental goals.
Detection of Anomalies in Internet of Things (IoT) Devices and Sensors Dickson, Solomon Makasda
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 2 No. 3 (2024): Radinka Journal of Science and Systematic Literature Review (RJSLR)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v2i3.347

Abstract

Though IoT devices and sensors are intended to make our lives easier, they can be vulnerable to malicious activities. As such, a critical part of IoT security is the development of algorithms that can detect anomalies in these devices and sensors. This study aimed to review the various approaches to anomaly detection in the context of IoT devices and sensors. The objectives are to evaluate unsupervised, supervised, reinforcement, and deep learning methods. The research methodology adopted for this study was explanatory. This study focuses on the detection of anomalies in IoT devices and sensors. This involves literature research using sources like web sources, in-print material, journals, textbooks, and articles. In conclusion, this study evaluated the various approaches to anomaly detection in the context of IoT devices and sensors. Methods such as unsupervised, supervised, reinforcement, and deep learning are critically reviewed.
Analysis of Covid-19 Pandemic and Migration to Distance Learning and Digital Education in Public Tertiary Institutions in Abia State Dickson, Solomon Makasda; Enock, Sarah Banku
JOURNAL OF DIGITAL LEARNING AND DISTANCE EDUCATION Vol. 3 No. 7 (2024): Journal of Digital Learning and Distance Education (JDLDE)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/jdlde.v3i7.369

Abstract

The study was conducted to examine the analysis of Covid-19 pandemic and migration to distance learning and digital education in public higher institution in Abia State. Covid-19 pandemic era is simply a period everything and sectors of the economy was paralyzed and all activities were halted. It implies that teaching activities and learning activities in traditional classrooms were affected. The aimed of this study was to determine the extent to which public higher institutions in Abia to migrate to digital education in the covid-19 pandemic era. This objectives was to examine how equal education opportunities and curriculum implementation during the Covid-19 pandemic era in public tertiary institutions in Abia State. Two research questions were raised and answered for the study. Two research hypotheses were formulated and tested at .05 level of significance. Descriptive survey research design was adopted while structured questionnaire were used for data collection. The population of the study consisted of all the public tertiary institutions in Abia State while the sample random sampling technique was in the study. The Statistical for Social Science (SPSS) was used as the statistics for data analysis which help in realizing the objectives of the study. From the findings of the study, both tertiary institution and Government as well as the lecturers are instrument for improving migration to digital education in higher institutions in Abia State.
Co-Authors Enock, Sarah Banku Idayana ALABERE Ijeoma Peace OKECHUKWU Ogbonnaya Okechukwu UKEGBU OKECHUKWU, Ijeoma Peace