SICT http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/35 2026-09-27T15:38:28Z 2026-09-27T15:38:28Z Ahmed, Rukayat Adebayo, Olawale Ahmad, Suleiman Anyaora, Peter Atiku, Mustapha Baba, Meshach http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31992 2026-09-27T03:46:45Z 2025-03-31T00:00:00Z

Title: Systematic Literature Review on Distributed Denial of Service Attack Authors: Ahmed, Rukayat; Adebayo, Olawale; Ahmad, Suleiman; Anyaora, Peter; Atiku, Mustapha; Baba, Meshach Abstract: Distributed Denial of Service (DDoS) attacks are one of the more sophisticated threats that have been targeting the internet and systems in recent years. Traditional machine learning-based intrusion detection systems (IDSs) frequently do not detect these attacks effectively when they are trained on unbalanced datasets. This work provides a system literature review (SLR) on Distributed Denial of Service (DDoS) attack detection, by presenting a detailed assessment of the approaches and methodologies taken throughout the nine years, emphasizing machine learning and deep learning techniques. The review examines various approaches, including token embedding for feature extraction, transformer-based models, and hybrid detection techniques. Despite improvements, the study highlights ongoing challenges, such as computational complexity and the need for enhanced solutions like blockchain-based detection systems. Open research gaps and future directions, including the refinement of detection algorithms for evolving DDoS tactics, are also discussed, offering a comprehensive resource for researchers aiming to improve DDoS mitigation

2025-03-31T00:00:00Z Anyoara, Peter Adebayo, Olawale Ojeniyi, Joseph Adeleke, Nafisa Gungbias, Hosea Nwodo, Rosemary Okechukwu, Chukwuemeka http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31991 2026-09-27T03:08:28Z 2024-07-10T00:00:00Z

Title: ENSEMBLE APPROACH WITH LASSO REGULARIZATION ALGORITHM FOR IMPROVED DETECTION OF ANDROID MALWARE Authors: Anyoara, Peter; Adebayo, Olawale; Ojeniyi, Joseph; Adeleke, Nafisa; Gungbias, Hosea; Nwodo, Rosemary; Okechukwu, Chukwuemeka Abstract: Android malware is a trending topic in computing and cyber security science, due to over 60% of people usage of android phones. The volume and sophistication of android malware have increased due to this enormous use and creation of different applications which pose serious risks to the security of mobile devices and the services they support. Therefore, there is a growing interest in using machine learning to enhance android malware detection for industry adoption to ensure application security on android phones. This research proposes an efficient ensemble learning approach of the Multilayer Perceptron Neural Network-Random Forest-Light Gradient Boost android malware detection model with Lasso regularisation algorithm for feature selection. Experiment was conducted on two based datasets, CicandMalInvest2019 of a static analysis and TUANDROMD of a dynamic analysis. The results show the data pre-processed with hyperparameter tuning, got an accuracy of 99.601% and 96.92%, false positive rate of 0.0026 and 0.01124, F1-score of 0.91764 and 0.99441, on the static and dynamic analysis datasets respectively. The proposed model outperformed the benchmarked machine learning based models.

2024-07-10T00:00:00Z Kuchma, Iryna Ševkušić, Milica http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31984 2026-09-12T23:14:04Z 2024-07-22T00:00:00Z

Title: Landscape of no-fee open access publishing in Africa Authors: Kuchma, Iryna; Ševkušić, Milica Description: Contributor: (country report authors listed alphabetically by country name): Kamel Belhamel, University of Bejaia (Algeria); Joseph Sagbohan, Université d'Abomey-Calavi, Ecole Polytechnique d'Abomey-Calavi (Bénin); Naniki S Maphakwane, Botswana Open University (Botswana); Zoé Aubierge Ouangré, Université Norbert Zongo (Burkina Faso); Cécile Outtara-Coulibaly, Université Virtuelle de Côte d’Ivoire (Côte d’Ivoire); Eliezer Bisimwa Mwongane, Université Libre des Pays des Grands Lacs (Democratic Republic of Congo); Getnet Lemma, Addis Ababa University (Ethiopia); Richard Bruce Lamptey, College of Science, Kwame Nkrumah University of Science and Technology Library (Ghana); Arnold Mwanzu, Aga Khan University (Kenya); Buhle Mbambo-Thata, National University of Lesotho Libraries (Lesotho); Patrick Mapulanga, Kamuzu University of Health Sciences (Malawi); Abdrahamane Anne, DER Santé Publique (Mali); Rachid Ayssi and Fadoua El Maguiri, Centre National pour la Recherche Scientifique et Technique (Morocco); Horacio Zimba, Eduardo Mondlane University (Mozambique); Anna Leonard, University of Namibia (Namibia); Basiru Adetomiwa, Redeemer's University, Ede, Osun State and Fatimah Jibril Abduldayan, Federal University of Technology, Minna (Nigeria); Ina Smith and Susan Veldsman, Academy of Sciences in South Africa (South Africa); Innocent Azilan, Universités de Toulon et de Lomé (Togo); Bessem Aamira, CNUDST (Tunisia); Eness M. Miyanda-Chitumbo, The University of Zambia (Zambia); and Blessing Chiparausha, Bindura University of Science Education (Zimbabwe)

2024-07-22T00:00:00Z Attah, Tansi Arome Usman, Abdulsalam Ahmed Abduldayan, Fatimah Jibril http://irepo.futminna.edu.ng:8080/jspui/handle/123456789/31964 2026-07-30T14:31:02Z 2023-01-01T00:00:00Z

Title: Demographic Characteristics, Awareness, and Utilisation Patterns of Public Libraries in Nigeria: Implications for Promoting Access to Knowledge and Enhancing User Engagement in Nigeria Authors: Attah, Tansi Arome; Usman, Abdulsalam Ahmed; Abduldayan, Fatimah Jibril Abstract: This study is on public libraries' roles in helping achieve to achieve the United Nations Sustainable Development Goal (SDG) on Poverty Eradication in Nigeria. Poverty has long been a challenge that has faced humanity as many struggles to make ends meet and get decent living for themselves. We live in an 'Information Age' where people equipped with the right information are able to make better decisions and better their lives. Public libraries exist as an information household that can provide people with the right information to better their status quo and life as a whole. This study identified the demographic characteristics of public library users in Nigeria, investigated the level of awareness of public libraries. frequency of use of the library, identified the reasons for visiting public libraries and the types of resources and services that users consult, and finally, suggested strategies that could be employed by public libraries in achieving the SDG goals on poverty eradication in Nigeria. A survey was carried using online Google Forms as the data collection instrument. Questions were generated in line with the research objectives and a link to the form was shared on social media with 238 young adult Nigerians from 25 selected states cross the six geopolitical zones in Nigeria. Findings revealed that 54.9% of male students that falls within the age range of 15-25 years from tertiary institutions form the highest number of public library users in Nigeria. Despite half of the respondents being aware of public libraries, the majority do not visit, with only only a small percentage visiting on a daily basis. Borrowing books and other information materials as well as studying are the main reasons for visiting public libraries in Nigeria. The study recommended the importance of increasing awareness of public libraries, and partnership and collaboration with other libraries and organisations in rolling out programs on poverty eradication for youths.

2023-01-01T00:00:00Z