International Journal of Computer and Information Technology
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Systematic Literature Review SDLC in Software Engineering
Get PDFSoftware Engineering is a branch of computer science that is used to find out what is wrong in software. The purpose of this study is to provide a number of papers with the theme Software Development Life Cycle (SDLC) on software engineering. We conducted a literature review for papers published in the period 2018 to 2022. As many as 80 papers that we took from the Scopus database and the Web of Science were then reviewed based on the SLR flow that we determined, which was to separate journal articles and conference papers, only taking the most cited papers. at least 3 times and the final result of our review is 48 papers related to a comprehensive discussion of SRL (SDLC in software development)
Effect of Cybersecurity Awareness among Students in the Education Framework Using the Internet, E-Learning Platforms and Social Networks
Get PDFSome groups of students, both male and female, are ignoring their duty to keep the security of their data. The goal of this research is to comprehend the administration. Students at Zarqa University have reported additional criminal incidents. For urged to take an active role in preventing security incidents. This paper\u27s introduction looks at security issues linked to level of safety as well as raising student security awareness. The students at Zarqa University should be more mindful of security issues. This research covered a lot of topics that mirror how students use the internet and behave when doing things related to security, like creating and managing passwords and interacting with social networking sites. After researching pupil security awareness, it was discovered that they lacked the most basic security measure, such as a strong password. In order to solve the issue of shortage, we must address the dearth of training programs for students in security awarenes
A Biometric Authentication Scheme to Enhance Access Integrity of Higher Education Institutions
Get PDFAccess control and security within higher education institutions are of paramount importance in safeguarding sensitive information and resources. Conventional authentication methods, such as passwords and identification cards, have proven susceptible to security breaches and identity theft. To address these vulnerabilities, this paper presents a novel biometric authentication scheme tailored to the unique needs of higher education institutions. Deploying a trustworthy user authentication system became a key responsibility for both access control and securing user\u27s private data with the rapid rise of electronic crimes and their connected difficulties. For both private and public use, human biometric features including voice, finger, iris scanning, face, signature, and other features offer a solid security level. This paper provides a comprehensive overview of the biometric authentication scheme, outlining its architecture, functionality, and security measures. We also present the results of a pilot implementation within a higher education institution, demonstrating improved access security and user satisfaction. Ethical considerations and privacy safeguards are discussed to ensure responsible biometric data handling. For a long time, numerous biometric authentication solutions have been considered. owing to the distinctiveness of human biometrics, which was important in thwarting imposters\u27 attacks. Only a few of the key issues endangering system integrity and impeding effective service delivery include identity theft, spoofing, and the reliability of authentication systems in higher education institutions. From the experiment the total number of tests was 15, as the threshold was one attempt. While fingerprint authentication typically took 2.67 seconds, palm vein authentication often took 9.15 seconds. Therefore, the palm vein was slower than the fingerprint in terms of speed. The structure of the hand and the distance between the palm and the scanner were the determining elements in pal\u27s slow authentication speed. The palm vein system has a 93.33% accuracy rate compared to the fingerprint system\u27s 60% accuracy rate, making it the preferable model to use in a higher education setting. A biometric system\u27s success or failure is influenced by a variety of variables and application domains. The purpose of this work is to discuss an appropriate biometric authentication model that may be used to improve the reliability of biometric systems in institutions of higher learning. The proposed biometric authentication scheme offers a forward-looking solution to the access integrity challenges faced by higher education institutions. By adopting this technology, institutions can bolster their security posture, protect sensitive data, and provide a more convenient and secure access experience for students, faculty, and staff
Internet of Things (IoT) based Air Pollution Monitoring in Kaduna, Nigeria
Get PDFConventional approach to air pollution monitoring using tempo-spatial measurements with instruments and air quality meters is cumbersome, stressful and unable to offer continuous monitoring. An Internet of Things (IoT) – based air pollution monitor using low cost micro-scale sensing technology was designed and developed. This system is convenient, cost effective and offers round the clock monitoring. The IoT-based air pollution monitoring system comprises of a sensor node, microcontroller (MC), internet gateway and a cloud server. Data is transmitted to ThingSpeak cloud server through HTTP command. The results are displayed on ThingSpeak webpage and remotely accessed. Three separate hardware devices were developed and deployed in three different locations within Kaduna city. These areas are Kakuri industrial layout, Ahmadu Bello way commercial center and Gonin Gora residential area. The results from these locations which are remotely assessed, indicated that the developed devices offer continuous monitoring of air pollution with minimal human intervention. Furthermore, using percentage difference, the results from the IoT – based air pollution monitor are compared with those of conventional air quality meters and found to be accurate with a tolerance value of +5%
Evaluation of Phishing Attack Strategies on Mobile Device Users
Get PDFPhishing is one of the most common types of hostile internet attacks, which are on the rise on a daily basis. Phishing is a deliberate act that uses deception to trick unsuspecting individuals into disclosing their personal information online. Phishing attacks change in size and shape over time as they all have unique characteristics. Therefore, this paper attempts to evaluate phishing attack strategies on mobile device users by taking into account new techniques such as phishing attacks on videoconferencing services, SMS, voice calls, emails, and social media. The study also carried out a survey with the use of a questionnaire (via google form) to gather data from 122 mobile device users across Nigeria to elicit their awareness and experience, as well as responses to phishing attacks. The aim of this paper is to bring to light, phishing attacks techniques targeted at mobile device users, to sensitize the populace and provide information on how to avoid them
Comprehensive Design Flow for Effective Data Processing and Visualization
Get PDFData is pervasive in the modern digital world. Data is continually being created, gathered, and analysed, from social media interactions to financial transactions. Businesses face both opportunities and challenges due to the data boom. On one hand, data may be a useful resource for companies looking to differentiate themselves from the competition, spur innovation, and enhance decision-making. However, the sheer amount and complexity of data can be daunting, making it challenging to glean insightful information and take timely action on it. Organisations need a strong and well-designed data processing design flow that can allow effective data exploration and creative visualization in order to meet this challenge. This work focuses on the complete data processing lineage and integrating that with various tools such as Talend and Power BI for data analytics to deliver diverse visualizations and insights which can cater businesses to stay ahead of the curve, providing a foundation for success in the ever-evolving digital landscape
Multi-Objective Optimization of Input Machining Parameters to Machined AISI D2 Tool Steel Material
Get PDFPoor surface finish on die and mould transfers the bad quality to processed parts. High surface roughness is an example of bad surface finish that is normally reduced by manual polishing after conventional milling machining process. Therefore, in order to avoid disadvantages by manual polishing and disadvantage by the machining, a sequence of two machining operations is proposed. The main operation is run by the machining and followed by Rotary Ultrasonic Machining Assisted Milling (RUMAM). However, this sequence operation requires optimum input parameters to generate the lowest surface roughness. Hence, this paper aims to optimize the input parameters for both machining operations by three soft-computing approaches – Genetic Algorithm, Tabu Search, and Particle Swarm Optimization. The method adopted in this paper begins with a fitness function development, optimization approach usage and ends up with result evaluation and validation. The soft-computing approaches result outperforms the experiment result in having minimum surface roughness. Based on the findings, the conclusion suggests that the lower surface roughness can be obtained by applying the input parameters at maximum for the cutting speed and vibration frequency, and at minimum for machining feed rate. This finding assists manufacturers to apply proper input values to obtain parts with minimum surface roughness
Experimental Study on the Effect of Pattern Variation and Feature Points on Fingerprint Matching
Get PDFFingerprint has been adjudged as the most reliable means of identification and authentication of an individual because of its uniqueness, high immutability and unchanging patterns. Typically, the ridges of fingers consist of different pattern types whose attributes are often extracted for matching during fingerprint classification. The occurrence of these patterns vary among fingerprint, which has significantly affected the accuracy of fingerprint recognition and classification processes. This paper therefore focuses on the investigation of the impact of pattern variation, singular points and feature points on fingerprint matching. The investigation was based on benchmarked FVC2000, FVC2002, FVC2004 and FVC2006 fingerprint databases which comprise four datasets each from different sources and of varied types. The obtained false non match rate (FNMR), false match rate (FMR), total matching time (TMT) and average matching time (AMT) values revealed that use of multiple matching criteria will lead to extension in the fingerprint matching time
Towards Human Activity-Based Interactive Communication Systems’ Design in Higher Learning Institutions: Study Conducted in Tanzania Higher Learning Institutions
Get PDFThe power of human computer interaction in interactive systems’ design processes is unimaginable as it determines their usability. However, these design processes encounter several challenges which make most of the designed interactive systems, notably in higher learning institutions fail to suitably satisfy targeted users’ needs despite the fact that they are normally designed based on their requirements.
This study begins by exploring the challenges facing main communication and interaction means used in Tanzania higher learning institutions. The study then provides a review of challenges related to key research areas associated with interactive systems’ design. Based on the reviewed challenges, authors combined design science research with activity theory to come up with suited techniques through which user-involved interactive communication frameworks needed for suitable design of human activity-based interactive communication systems’ can be obtained.
Based on that approach, authors came up with a suited four phase Design Science Research methodology to be used in designing of applicable frameworks. In its first phase and following a crucial user-centred design process, authors were able to come up with a Human-Activity Design Centred Framework for capturing most of the users’ needs in the design process through activities performed as well as a Human Factors’ Approach to interactive communication systems design in HLIs’
Development of Content Security Policy Detection and Reporting Web Application
Get PDFAttacks detection and prevention is becoming progressively challenging, in Web Application. The Web Applications requisite attack detection interface that can check about the services, analyzed obviate studies, and perform real time monitoring to secure the web applications. There are esteemed threats use for data hack and website defacement such as XSS (Cross-Site Scripting), XSRF (Cross-Ste Request Forgery), XEE (XML External Entity), Code Injections, DOS(Denial of Services) etc. The number of XSS has been increasing with high intensity, so it is compulsory to develop solutions that can detect and report attacks as well as analyze for prevention of modern web applications. Based on this situation this paper proposed a method which is Content Security Policy for detection and reporting vulnerable web applications. Content Security Policy also prevents the exploitation of cross-site scripting vulnerabilities