Performance Evaluation of Supervised Ensemble Cyber Situation Perception Models for Computer Network

The trend at which cyber threats are gaining access to companies, industries and other sectors of the economy is becoming alarming, and this is posting a serious challenge to network administrators, governments and other business owners. A formidable intrusion detection system is needed to outplay the activities of the cyberattacks. An ensemble system is believed to perform better than a single classifier. With this fact, five different Machine Learning (ML) ensemble algorithms are suggested at the perception phase of Situation Awareness (SA) model for threat detection and the algorithms include; Artificial Neural Network Based Decision Tree (ANN based DT), Bayesian Based Artificial Neural Network (BN based ANN), J48 Based Naïve Bayes Model (J48 based NB), Decision Tree based Bayesian Network (BN) and Random Forest based on Support Vector Machine (RF based SVM). The efficiency and effectiveness of all the aforementioned algorithms were evaluated based on precision, recall and accuracy. ANN based DT gave 98.87% accuracy, BN based ANN gave 99.72% accuracy, J48 based NB gave 98.90% accuracy, DT based BN gave 89.92% accuracy and FR based SVM gave 98.40% accuracy. The implication of these results is that BN based ANN is more suitable in the perception phase of SA for threats detection. Keywords- Cyber-threats, Ensemble Algorithms, Computer Network, Intrusion Detection System, Machine Learning

FAITH Software Life Cycle Model for Forex Expert Advisors

The emotional stress and uncertainties associated with foreign exchange (forex) trading due to the high risk of losing the investment capital has left most forex traders in a state of indecision on the best methodology to apply for achieving long term profit. The provision of lot sizes, leverages, take profits and stop losses in forex trading implies that very high profit can be made within a very short time with the same capital, but at the same time, very high losses can be incurred. On one hand, this provision often prompts a set of traders to become greedy by increasing their take profit levels, lot sizes and leverages, which in turn increases their probability of losing out. On the other hand, the provision creates doubts and induces the fear of losses in some other set of traders. Consequently, these set of conservative traders employ the use of relatively small lot sizes, low leverages and low values of take profit and high stop loss levels. This in turn often results in a devastating effect on the investment capital due to lost opportunities and resulting losses. The problem of losses in forex trading effort is compounded by the fact that many programmers and developers of forex expert advisors do not adopt a software life cycle, having learned only how to write codes to program the trading platform. Furthermore, software engineering professionals who understand the import of software development life cycles soon discover that conventional software life cycles are not capable of effectively handling the complexity of the forex market. This paper models the human characteristics of greed, fear and doubt as manifested by traders in forex trading using selected expert advisors’ properties. It proposes Facts, Analysis, Implementation, Testing and Hope (FAITH) software life cycle model for Forex trading profitability to tackle the problem of indecision in the development of forex expert advisors. The proposed model was implemented on a live trading platform for a period of three months and compared with doubt, fear and greed approach to trading. The results showed that while a level of greed can be profitable, FAITH software life cycle produced more profitable results and can be adopted for forex trading. Keywords: Software Development Life Cycle, Expert advisors, Forex Model, Losses, Profit

On the Development of Neuro-Fuzzy Expert System for Detection of Leghemoglobin (NFESDL) in Legumes

The regular supply of affordable complete meals most especially protein from animals has been threatened. Protein sourced from animals carry too many health risks. Obesity, cancer, diabetes, etc., have been traced to the consumption of meats, most especially beef. Medical experts claim that some ailments are as a result of the chemically processed feeds given to raise animals. Therefore, an alternative to meat from plants is imperative. This led to the development of a neuro-fuzzy expert system for detection of leghemoglobin in legumes. This work utilized production rule-base technique and forward-chaining mechanisms with linguistic antecedent conditions to detect the presence of leghemoglobin in plants. To further remove clumsiness and ambiguity in the identification process, metrics/weights were obtained and attached to each morphological feature. MATLAB platform was employed for the development of the system. Class and objects were used to model the information elicited. The result is a system that detects the presence of leghemoglobin in plants. Keywords: Expert system, inference system, neuro-fuzzy, dataset, leghemoglobin

Individual Characteristics and Social Learning Modelling Factors Influencing ICT Skills Development among Postgraduate Students at the University of Ibadan, Ibadan, Nigeria

Information communication technologies (ICT) offer opportunities to young people through guided education and skill acquisition, which in turn lead to youth's self-sustainability, and employment. Despite the immense contributions and benefits of ICT to economic development and reduction of unemployment, there is a little overarching investigation regarding the factors affecting ICT skills development among students in the University of Ibadan. This study investigates how individual characteristics and social learning modelling factors influence ICT skills development among postgraduate students in the University of Ibadan. The study adopted a survey research design. Data were collected from a sample of 398 postgraduate students. Frequency counts and percentages, Chi-square test, Spearman's rank correlation, and multiple linear regression were used for data analysis. Three research questions were answered and three hypotheses were tested at 0.05 level of significance. The result showed that individual characteristics and social learning modelling factors jointly influenced the ICT skills development of postgraduate students (F (9, 388) = 9.488, P<0.05). The study showed that students recognise that ICT skills are required to succeed in today’s world and are deemed necessary for employment. The respondents expressed interest in developing ICT skills to boost their employability. They also felt that the university management is obligated to provide training on ICT skills. Based on this, the study recommends that educational institutions and the government should implement effective policies for students to acquire sufficient ICT skills. The study also recommends that ICT skills development programmes should be incorporated into academic programmes of universities in Nigeria. Keywords: Information and Communication Technology, Digital Literacy, ICT Complementary Skills, Nigeria, Postgraduate Students, Ibadan, University.

Effective Green Human Resource Management and Corporate Social Responsibility Strategy for Sustainable Development in the 21st Century

Corporate social responsibility is an activity embarked upon by organisations as a way of giving back to the society what was previously deposited in the organisation’s coffers as revenue. In the same vein, environmental challenges in the 21st century brings to the fore, a new approach which allows all hands to be on deck to ensure effective CSR geared towards sustainable development. This event birthed the concept of green human resource management which was examined vis a vis CSR as tool for the realisation of sustainable development in the 21st century. This paper gives a clear understanding of how effective GHRM and CSR strategy can drive sustainable development. The study concluded that premium should be placed on the human capital of every organisation using the GHRM framework; this will not only motivate employees to become partners in progress, it also bestow upon them a huge sense of responsibility that will assist organisations to succeed in their CSR activities which will have a long lasting positive effect on sustainable development. Keywords: GHRM, Corporate Social Responsibility, Sustainable Development, Organisations

An Empirical Analysis of Cybercrime Trends and Its Impact on Moral Decadence Among Secondary School Level Students in Nigeria

Cybercrimes in various forms are on the raise daily; these crimes pose a potential threat to our moral society as well as economy and nation building at large. They are namely: social engineering, malvertising, ransom ware, Spamming, Botnets, fake bank alert messages (SMS) /unsolicited SMS requesting you to provide bank details as Bank Verification Number (BVN), fraud, identity theft, piracy, pornography, hacking, fraudulent e-mail related SMS, forgery such as fake documents as Certificate etc. Thus, Cybercrime is gradually becoming a threat to our moral society at large. Hence, the increase number of cybercrime rate is an open field of ongoing research studies. Therefore, we have proposed a new approach that emphases on the prominent cybercrimes carried out around the world, and presents a precise study in Nigeria within some secondary school students. The study revealed a new approach to fighting Cybercrimes in order to combat cybercriminals. Keywords: Cybercrime, Botnets, Malvertising, Ransom ware, Pornography

Development of One-Time Password (OTP) for ATM/POS : A Review of Related Works

This study is aimed at designing a One-Time Password (OTP) for ATM/POS. The emergence of the Internet Banking leads to the Introduction of Plastic payment cards that provide a suitable and secure medium which people conduct a variety of financial transactions. But with this exciting innovation, it has also led to crime opportunities called “PLASTIC FRAUDS”. Notwithstanding, this crime must be controlled and that is why the banks must adopt a preventive and proactive method to fight the crimes. This calls for a One-Time Password (OTP) for ATM/POS. In this paper, we reviuewed Related Literaure and set the agenda for the research. Abstract- One-Time Password (OTP), ATM/POS, Security, Online Banking, Protection

Development of a Risk-Factor System for Predicting Occurence of Breast Cancer Using Fuzzy Logic

The high mortality rate associated with cancer and the inability to detect the disease early has led to a catastrophic reduction in the rate of survivability of the disease in women. We have attempted to improve on the rate of survival by using Fuzzy logic to develop a risk factor system for detection of breast cancer. The system has been implemented using the Mamdani fuzzy logic approach in MATLAB. A graphical user interface (GUI) has been developed using Microsoft Visual Studio 2012. The GUI was powered by a Fuzzy Logic Library and Visual C# was used as its programming language. Keywords: Breast Cancer, Disease, Risk factor, Fuzzy Logic.

Security Enhancement of an Automated Teller Machine Using Fingerprint and Password

This paper focuses on how to enhanced security of Transactions in Automatic Teller Machine system using a multi-factor authentication system (Password and Fingerprint). In order to achieve security and to overcome illegal activities, shortcoming of piracy in money transactions, we propose the idea of using fingerprints of customers and password instead of traditional use of PIN number. After authorized verification, the customer will be able to proceed for transaction else after four successive wrong attempts, the ATM card will be ejected automatically and a message will be sent to the registered mobile number. The proposed system is developed to provide better security to the ATMs. Keywords— ATM, Fingerprint, PIN, Biometric.

Design and Implementation of an Automated Train Transportation Ticketing System for Kaduna to Abuja Train Stations

Transportation is an easy way of moving goods, people or animals from one place to another. There are different types of means to which things can be transported but the area we are going to concentrate on is transportation by train. Rail transport is a means of transporting people and goods from one place to another via a train. Trains are vehicles that runs on rails or tracks. Ever since humans came to existence, the drive we have towards knowledge, inventions and innovation is on an unending loop. Thanks to that, we have profoundly moved forward in terms of our technological developments and thus created things that added more value and efficiency to our day to day activities. In this work, we lay out a research intention directed at designing and implementing an automated train transportation ticketing system for the Kaduna-Abuja Train Stations. Keywords: Design, Implementation, Ticketing, Automated Train Transportation System, Kaduna, Abuja Train, Stations