International Conference on Intelligent and Innovative Computing Applications最新文献

{"title":"Towards Scalable Secure Syslog Compatible Remote Logging","authors":"B. Irwin, Franco Loyola","doi":"10.59200/iconic.2022.002","DOIUrl":"https://doi.org/10.59200/iconic.2022.002","url":null,"abstract":"This research explains both why logging is useful and why the integrity of logs and the logging process is important. This is followed by a discussion of the design and implementation of a high-performance secure logging framework, implemented in Golang (Go). This is implemented as a server-client for *nix-like systems, with a focus on security first. While a custom protocol is introduced for security, the server remains compatible with traditional syslog log messages, albeit without the added performance and security features. The functionality of the implementation is reflected on along with preliminary performance bench-marking. While most of the design goals are satisfied, one notable area of concern is the performance hit caused through the use of RSA encryption. Aside from this the system was found to perform well with logging rates in excess of 20 thousand events per second achieved. The work concludes with some suggestions for improvements and future work.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116124432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sexual Crime Prediction in an African Context","authors":"O. Falope, Surendra Thakur","doi":"10.59200/iconic.2022.001","DOIUrl":"https://doi.org/10.59200/iconic.2022.001","url":null,"abstract":"The growth of sexual crime in Africa and the incapacity to control it have had a major physical and psychological impact on victims. Crime in general can reduce foreign direct investment in a country. This study was driven by the need to reduce sexual crime across the country. Data mining techniques were applied to a sexual crime dataset extracted from the South African crime statistics database on Kaggle to visualise sexual crime trends and create a model that predicts the occurrence of sexual crimes, thereby helping government and law enforcement agencies gain insights into the most common sexual crime hotspots across all the nine provinces of South Africa. This model may help law enforcement combat sexual crimes faster. We identified data analytics methods for sexual crime prediction and chose the best one. Because of a linear relationship between the dependent variable (sexual crime) and the independent variables (population and density), linear regression and decision tree classifier algorithms were used to predict main causes of sexual crime in South Africa. Accuracy, precision, recall, and F1 scores were used to test the decision tree algorithm's performance. Linear regression was measured using the R-squared score, which achieved 91% accuracy, indicating how well the model will predict sexual crime occurrences.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128252611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Demographic Characteristics on the Electronic Health Management Information System (eHMIS) Functions in Tanzania","authors":"S. Donald, E. Lwoga","doi":"10.59200/iconic.2022.007","DOIUrl":"https://doi.org/10.59200/iconic.2022.007","url":null,"abstract":"We assessed the use of Electronic Health Management Information – eHMIS – and the influence of demographic characteristics on the eHMIS functions. In particular, we explore changes in the usage of eHMIS among health workers. We also determined the effects of demographic characteristics on the usage of eHMIS and assessed any improvement in the ability to use eHMIS after its development. A mixed research design approach was adopted. The respondents were the clinical and non-clinical staff. Data was collected using interviews and questionnaires in three phases: baseline, midline, and final survey. The findings revealed an increase in the frequency of use of the eHMIS for entering and searching data entry from the midline to the final review. Apart from entering data, browsing, and retrieving previously recorded data, other eHMIS functions were not affected by demographic characteristics. On self-efficacy, there was an increase in health workers who felt comfortable using the system in the final survey compared to the baseline survey. In conclusion, enough training, user experience, and support from the management are very important in effective eHMIS implementation.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126225660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Walk: A Smart Stick for the Visually Impaired","authors":"Musawenkosi Blessing Luthuli, Vusumuzi Malele, P. Owolawi","doi":"10.59200/iconic.2022.014","DOIUrl":"https://doi.org/10.59200/iconic.2022.014","url":null,"abstract":"It is estimated that globally, 285 million people in the world are visually impaired, while 39 million are completely blind. Visual impairment may cause difficulties for people to do their daily activities. There is a need for innovative, ambient, or active assisted living (IAAL) solution(s) to be designed, developed, and deployed for the visually impaired individuals. This paper presents a design of a smart stick for visually impaired individuals as an IAAL solution. The smart stick comprises ultrasonic sensors to detect objects and obstacles, a camera to capture the objects, a GPS module for location update and navigation, and a Raspberry Pi 3B+ which acts as a central unit for the whole system. The smart stick was tested in different environments and backgrounds. The image classification and object detection accuracy of the smart stick system was within the range of 59 per cent to 89 per cent (minimum and maximum range). The smart stick helped the visually impaired individuals to manage walking around their environment. The proposed system will improve the life of visually impaired people since it managed to accurately identify and detect objects with a 89 per cent accuracy level at a one meter distance.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125873730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Academic and Skills Credentialing Using Distributed Ledger Technology (DLT) and W3C Standards: Technology Assessment","authors":"Sthembile Mthethwa, Morné Pretorius","doi":"10.59200/iconic.2022.019","DOIUrl":"https://doi.org/10.59200/iconic.2022.019","url":null,"abstract":"The ongoing push for the 4th industrial revolution is setting the stage to digitise, persist and verify identity along with credentials. Academic and skills credentials are currently verified manually and have much scope for automation using cryptographic techniques but requires standardisation to facilitate future systems interoperability. The Distributed Ledger Technology (DLT) and World Wide Web Consortium (W3C) Verifiable Credentials (VC) standards presents the possibility to achieve this credential verification automation. To accomplish this, an understanding of various DLTs and requirements for a viable skills tracking system is important. Therefore, this research aims to access the selected DLTs against the assessment criterion presented and an analysis has been completed to determine which DLT is suitable for the proposed system. The DLTs are assessed in terms of their ability to support the rapid prototyping of such a system and provide recommendations to guide a future development path from the perspective of standards compliance. We conclude that few DLTs possess the maturity to provide proper requirements coverage due to the emergent nature of the DLT space. Additionally, this paper presents the high-level requirements to achieve a minimally viable solution that can demonstrate such digital credential verification in the academic and skills tracking context.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"693 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122477684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the Effectiveness of Machine Learning Algorithms in Detecting Distributed Denial of Service Attacks in Mobile Edge Computing","authors":"Emmanuel Sibusiso Chaki, S. Mapunya, M. Velempini","doi":"10.59200/iconic.2022.029","DOIUrl":"https://doi.org/10.59200/iconic.2022.029","url":null,"abstract":"Mobile Edge Computing (MEC) is the last mile technology in 5G designed to reduce latency and to execute delay-sensitive applications closer to the end-user. MEC is also known as Multi-Access Edge Computing, which extends the capabilities of cloud computing to the network's edge and brings more capabilities closer to the user. By deploying cloud capabilities to the edge servers, MEC reduces latency and delay. As a result, the end-user experience is enhanced. Unfortunately, the MEC is susceptible to security challenges. Therefore, security is a challenge that requires attention. This paper investigates and compares the effectiveness of machine learning algorithms designed to detect distributed denial of service (DDoS) attacks in MEC. DDoS is one of the security concerns that are negating the advantages of MEC. It degrades the performance of the network. In this work, network and application layer DDoS attacks were considered. The study observed that the Support Vector Machine outperformed other machine learning techniques, and the findings are fundamental to the development of our proposed security framework for MEC.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114970919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Impact of Smartphones on Student Creativity at a South African University","authors":"Ronald Kyobe, S. Roodt, S. Mulaji","doi":"10.59200/iconic.2022.022","DOIUrl":"https://doi.org/10.59200/iconic.2022.022","url":null,"abstract":"Research indicates a general increase in smartphone ownership, with the student population being the leading proportion. Among other notable effects of this change could be an enhanced collaboration between learners and lecturers on the one hand, and an increase in sleep deprivation and attention deficits in students on the other hand. Such unsettling revelations call for the investigation of the impact of smartphones on learning outcomes. This paper investigates the impact of smartphones on students’ creativity. Based on the interactions and outcomes theory, the study assesses how smartphone-facilitated processes, person-to-smartphone interaction, and smartphone-enabled environment affect students’ creativity. A hundred and five (105) students at a South African university were surveyed using online questionnaires. General Linear Model (GLM) MANOVA was used as the analysis method. The results reveal that only smartphone facilitated processes and student-to-smartphone interaction significantly affect student creativity. This signals smartphones’ potential in setting a learning environment supporting student creativity at the individual level. Universities could leverage this potential to design better learning management systems that integrate smartphones to improve learning outcomes.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115570373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Influence of the National E-Procurement System on Employees’ Performance in Selected Public Institutions in Tanzania","authors":"","doi":"10.59200/iconic.2022.008","DOIUrl":"https://doi.org/10.59200/iconic.2022.008","url":null,"abstract":"The study assessed the influence of the Tanzania National E-Procurement System (TANePS) on employees’ performance in the selected public institutions in Tanzania. Specifically, we investigated the extent to which TANePS is being adopted, and its influence on employee performance at the following institutions: Government Procurement Services Agency (GPSA), and the Public Procurement Regulatory Authority (PPRA). We conducted a self administered questionnaire survey to 200 employees at the selected institutions, with a rate of return of 66 per cent. The study found that most respondents (84%, n=168) frequently completed their daily tasks easily by using TANePS. In particular, most of the respondents frequently used TANePS for e-tendering, and e-payment, while user registration and e-contract management had low use. On factors enabling adoption of TANEPS, the software design had a positive impact on the IT readiness (b=0.696, p=0.042). Management policies negatively affected internal resistance (b= -0.517, p=0.002), and internal resistance negatively affected adoption of TANePS (b= -0.506, p=0.002). At the same time, two factors (i.e., management policies (b= 0.649, p=0.002) and IT-readiness (b= 474, p=0.002)) had a positive effect on adoption of TANePS. Consequently, adoption of TANePS had a positive effect on the effective procurement (b=0.674, p=0.007), and the reduction of imperfections (b=0.721, p=0.001). The study further found that the use of TANePS led to better performance (p>0.045 [F (2, 183=26.737, p=0.045]), increased accuracy of production capacity (p>0.045 [F (2, 183=3.190, p=0.045]), and shortened process cycle times (p>0.024 [F (2, 183=17.347, p=0.024]). The study recommends that government procurement authorities and public institutions in Tanzania and other countries of similar environment should ensure that an e-procurement system is designed based on user needs; there are supportive management policies, there is a regular system review and maintenance, adequate technical user support and training, user friendly software design, a secure system, and stable network. These suggestions will increase the number of bidders and enhance stiff and fair competition among them.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132286161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Hybrid Part of Speech Tagger for Setswana Language using a Voting Method","authors":"M.A. Dibitso, P. Owolawi, S. Ojo","doi":"10.59200/iconic.2022.027","DOIUrl":"https://doi.org/10.59200/iconic.2022.027","url":null,"abstract":"Part-of Speech (PoS) tagging is a corpus linguistics that deals with assigning appropriate lexical categories to each word in a sentence. To effectively address challenges associated with PoS tagging, several Natural Language Processing (NLP) tasks modelling techniques have been employed, including Conditional Random Fields (CRF), Support Vector Machines (SVM), and Decision Trees in diverse languages. These PoS taggers implement the process of associating the correct PoS (nouns, verbs, adjectives, adverbs, etc.) with each word in a sentence. However, creating language resources is an expensive process for many languages, including the indigenous languages of South Africa that are classified as resource-scarce. Therefore, using Setswana as a language with limited resources, this study explores and applies methods to increase the utilization of existing resources and tagger accuracy. This is done using Setswana's two PoS taggers: a Maximum Entropy (MaxEnt) and an SVM, which achieved an accurateness of 94.4 per cent and 95.59 per cent respectively. To find errors in the taggers, an error analysis is carried out. The Setswana PoS Tagger was then built using a voting algorithm to improve results and attain 97.06 per cent accuracy. The combination of taggers reduces the error rate by up to 2.01 per cent.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How Working from Home has Affected South African Industries? A Cybersecurity Culture Perspective","authors":"Avuya Shibambu, Sophia Moganedi","doi":"10.59200/iconic.2022.015","DOIUrl":"https://doi.org/10.59200/iconic.2022.015","url":null,"abstract":"The notion of working from home is not a new concept. However, it has become a buzzword amidst the COVID19 pandemic. Some scholars were already engaging in the work-from-home (WFH) concept a few years before the pandemic. However, contextualization of this concept from a South African perspective only became compelling during COVID19 times, when various industries had to shift their focus and adjust rapidly. This paper aims to investigate through literature reviews, and to understand the cybersecurity challenges that emerged because of this adjustment. Moreover, to investigate South Africa’s readiness and the lessons learned from this significant shift.","PeriodicalId":225070,"journal":{"name":"International Conference on Intelligent and Innovative Computing Applications","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123443508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}