Empowering Cybersecurity: A Deep Dive into AI-Driven Security Intelligence Modelling
Smart Incubator for Empowering Poultry Farmers by Maximizing Egg Hatching Success
Early Disease Detection of Black Gram Plant Leaf using Cloud Computing Based YOLO V8 Model
Data Retrieval in Cancer Documents using Various Weighting Schemes
Securing Healthcare Data in Smart Cities: A Machine Learning Approach
Records are pieces of information created or received by an organization or business establishment that provides evidences of business decisions or transactions. Record management is a vital part of any organization including the daily records of visitors in the organization. Types of records include vital and non-vital records, essential and nonessential records, active and non-active records, etc. Some of these categories of records are needed almost immediately to resume back the running and operation of an organization in case of an emergency, thus, they should be securely stored and managed. Interestingly, these records could be stored in paper-based format or in a computer based system. This research work is focused on the design and implementation of a computer-based visitors' records management system for Niger State House of Assembly Complex, Minna. It is a software application designed using JAVA programming language and MySQL database at the back end, used for storing visitors' information. The software handles all necessary operations regarding visitors' check-in and check-out in the Niger State House of Assembly Complex. Furthermore, the receptionist can capture visitors' bio-data, such as: name, gender, email, phone number(s), address, fingerprint data, and an instant picture snapshot with a digital camera. It also incorporates features of generating security reports and statistics for crime investigation, as a means of providing security for lives and properties of the members/staff of the house of Niger state house of assembly complex, Minna, as well as adequately managing the visitors' records for posterity.
This study explores the roles of IT markets in the promotion and proliferation of cybercrimes in Nigeria. Essentially, it seeks to identify cybercriminal activities perpetrated within the physical confines of markets of Information Technology (IT) products and services, assess the perception of dealers in these markets of the illegality of the cybercrimes, and identify factors that influence perpetrators at the markets to engage in criminal behaviours. Considering a mini size IT market in Minna, Niger State, Nigeria, it adopts the use of observation, disguised participation, questionnaire, and unstructured interview to collate relevant data. Findings reveal that content- and copyright-related offences, including illegal activities, such as sale of pre-registered SIM cards, cracking of Internet modems and distribution of cracked modems, and distribution of pirated software, games, music and videos, were perpetrated at the market. Most respondents agreed or strongly agreed the identified cybercrimes were illegal. The factors that influenced perpetrators centered primarily on economic gains.
This exploratory study presents how information security affects research data management in all the Federal Universities of Technology (FUTs) in Nigeria. These FUTs in Nigeria are: The Federal University of Technology, Minna; Federal University of Technology, Akure; Federal University of Technology, Owerri; Modibbo Adama University of Technology, Yola; and Abubakar Tafawa Balewa University, Bauchi. Lack of trust in the available security systems and safety procedures guiding the Institutional Repositories (IR) have been identified as perceived impediment to depositing intellectual outputs and the underlying research data by researchers. The consequence of this is poor patronage of the IR and low content of repositories of FUTs in Nigeria. The objective of this study was therefore to identify the available support systems in the Libraries and Information Technology Service (ITS) Units of FUTs in Nigeria. The study used oral face-to-face semistructured interview method conducted on five university librarians and five heads of ITS Units of FUTs in Nigeria, who are responsible for the development and management of institutional repositories and are also stakeholders in effective research data management. For the data transcription and analysis, this study adopted the Braun and Clarke (2006) thematic analysis approach, which involve a six-phase of qualitative data analysis. Findings of the study confirmed that hacking, as a cyber threat, still pose a great threat to intellectual output and research data deposited in the IR of FUTs in Nigeria. The study recommended the need for continued capacity building to improve the cyber security skills and data management skills of ITS staff and librarians, respectively.
Due to the rapid growth in the Information and Communication Technology (ICT) infrastructures, application and services, both corporate and individuals including government now depend on cyber space for almost every day- today activity. This development has brought about the disappearance of network boundary between computers on the internet, thereby making the security of Confidentiality, Integrity and Availability (CIA) of individual's information a great concern. Intrusion Detection System (IDS) has emerged as an important component of secure network as it filters and monitors the network traffic for any anomaly or misused connection. Machine learning technique has been useful in the area of intrusion detection due to their model free properties, which makes them to learn the network pattern and identifies them as either normal or malicious (attack). However, IDS suffers some performance challenges such as low detection and high false alarm rates. The focus of this research work is to develop a novel ensemble based model by integrating Multilayer Perceptron Neural Network (MPNN) and Sequential Minimal Optimization (SMO) classifiers to enhance the performance of IDS. Kyoto 2006+ intrusion detection dataset is used to evaluate the performance of the model. The results show that the ensemble of MPNN+SMO classifier outperformed ensemble of Random Forest (RF) and Average One Dependency Estimator (AODE) in terms accuracy, detection rate, false alarm rate, and Hubert index measurement. It is concluded that combination of multiple classifiers requires serious consideration so that the weak algorithm will not weigh down the performance of the model.
The importance of usability of websites in this contemporary era of information communication by universities and other allied academic institutions worldwide is very crucial. This has necessitated the urge and drive for usable websites to be developed by these institutions in order to improve ease of use. However, the need to measure usability of websites effectively have also prompted many researchers to develop different usability evaluation model. Even though there are numerous research efforts in this direction, there is still no universally acceptable usability evaluation model. In this paper, a framework based on integration of a Multi Criteria Decision Making (MCDM) approach with an artificial intelligence technique is being proposed to effectively evaluate university websites usability. The criteria used are; speed, navigation, ease of use, content, accessibility, aesthetic, and security. Thus a new model incorporating fuzzy analytical processing with artificial neural network is proposed.
