{"title":"Dynamic vs Static Encryption Tables in DES Key Schedules","authors":"Ndivho Mukwevho, C. Chibaya","doi":"10.1109/IMITEC50163.2020.9334110","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334110","url":null,"abstract":"The DES is a symmetric cryptosystem which encrypts data in blocks of 64 bits using 48 bit keys in 16 rounds. It comprises a key schedule, encryption and decryption components. The key schedule, in particular, uses three static component units, the PC-1, PC-2 and rotation tables. However, can these three static components of the key schedule be altered? The DES development team never explained most of these component units. Understanding the DES key schedule is, thus, hard. In addition, reproducing the DES model with unknown component units is challenging, making it hard to adapt and bring implementation of the DES model closer to novice developers' context. We propose an alternative approach for re-implementing the DES key schedule using, rather, dynamic instead of static tables. We investigate the design features of the DES key schedule and implement the same. We then propose a re-engineering view towards a more white-box design. Precisely, generation of the PC-1, rotation and PC-2 tables is revisited to random dynamic tables created at run time. In our views, randomly generated component units eliminate the feared concerns regarding perpetrators' possible knowledge of the internal structures of the static component units. Comparison of the performances of the hybrid DES key schedule to that of the original DES key schedule shows closely related outcomes, connoting the hybrid version as a good alternative to the original model. Memory usage and CPU time were measured. The hybrid insignificantly out-performs the original DES key schedule. This outcome may inspire further researches on possible alterations to other DES component units as well, bringing about completely white-box designs to the DES model.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"307 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123205683","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}
R. Sitholimela, K. Madzima, Serestina Viriri, M. Moyo
{"title":"Face Recognition using Two Local Ternary Patterns (LTP) Variants: A Performance Analysis using High-and Low-Resolution Images","authors":"R. Sitholimela, K. Madzima, Serestina Viriri, M. Moyo","doi":"10.1109/IMITEC50163.2020.9334098","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334098","url":null,"abstract":"Face recognition has grown over the years and has become a popular field of research in computer vision. It has gained prominence due to many successful applications in security, surveillance, healthcare, and other areas. Many face recognition techniques that focuses on facial texture features have also been widely proposed. Amongst the most commonly used techniques for face recognition based on image texture features are the Local Binary Patterns (LBP), Local Ternary Pattern (LTP) and their variations. Face texture features are more influenced by image resolution. Recognition accuracy tends to degrade with changes to image resolution. Therefore, image resolution is an important factor for accurate face recognition. In this paper, two face texture feature based techniques (DLTP & ELTP) are analyzed to determine how they perform when image resolution changes. This study provides a comprehensive analysis of experimental results for two Local Ternary Patterns (LTP) on how they are affected by image resolution changes. Results suggest that low and high resolution versions of the same image do not hold the same information and hence when compared the two are likely to be classified differently.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130133645","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":"Microstrip Antenna Array with Tilted Rectangular Ring Resonator Frequency Selective Surface for Gain and Bandwidth Enhancement","authors":"Akinola Segun, U. Nissanov, G. Singh, P. Kumar","doi":"10.1109/IMITEC50163.2020.9334112","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334112","url":null,"abstract":"This paper presents a Circular Ring with a tilt rectangular resonator frequency selective surface (FSS) for gain and bandwidth enhancement of the Ku band satellite communication antenna. A novel of tilt rectangular with circular ring element was introduced to inspire the degree of liberality in the structure with the increase in the length and rectangular tilt at 45degree to change the band stop. The dielectric material is incorporated concurrently. In increasing the bandwidth partial ground plane method is used, the gain increased with the loop FSS from the antenna gain of 3.74dB to 6.25dB at 12GHz, with Directivity from 4.09dBi to 6.62dBi and at 18GHz the gain increase from 3.60 to 5.86 and the directivity from 3.78 to 6.63 respectively. Simulation and analysis results were done with 3D Electromagnetic field simulation software (CST) microwaves studio time domain solver and validated with a frequency-domain solver. It is seen that there was great improvement more in the proposed method which was able to cover interesting operating frequency, the frequency selective surface was designed to operate at ku-band frequency rand of 12GHz to 18GHz fixed satellite communication.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125923879","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":"Acceptance of Biometric Authentication Security Technology on Mobile Devices","authors":"Wiliiam Ratjeana Malatji, R. van Eck, T. Zuva","doi":"10.1109/IMITEC50163.2020.9334082","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334082","url":null,"abstract":"Mobile devices are quickly turning into a key digital platform, changing how individuals gain access to business and individual data. A secured authentication is needed to access business and individual data from mobile devices. The world is turning out to be more connected and all mobile users want to be certain about individual data security. It is necessary and very much important to start looking and investing money into mobile biometric technologies because they are fast becoming the productivity tool of choice. This paper is a review of the acceptance of biometric authentication security technology on mobile devices, from existing literature. New devices are coming with biometric authentication technology but very few studies have tested the acceptance of biometric authentication technology on mobile devices. The results of the conducted studies found four notable challenges associated with mobile biometrics which include acquisition, pre-processing, feature extraction, and template storage. Furthermore, open issues such as hardware limitations, environmental and user-inducted noise, inconsistent data, and balancing transparency were also discovered. It is necessary to further research on the acceptance of biometric authentication technology on mobile devices since most mobile devices are being used for personal and business information use. The research can be used to improve the in-cooperation of biometric authentication technology in mobile devices for ease of use","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132414222","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}
Isaiah O. Adebayo, Nonsindiso Manganyela, M. Adigun
{"title":"Cost-Benefit Analysis of Pricing Models in Cloudlets","authors":"Isaiah O. Adebayo, Nonsindiso Manganyela, M. Adigun","doi":"10.1109/IMITEC50163.2020.9334114","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334114","url":null,"abstract":"Mobile Cloud Computing (MCC) emerged as a network paradigm for integrating mobile technology with cloud computing. However, with the recent proliferation of mobile applications as well as the resource constraint nature of mobile devices, latency and energy became relevant issues that needed to be addressed in MCC. To this end, an intermediate layer known as the cloudlet was designed to address these challenges. However, recent studies indicate that aside latency and energy related challenges, billing and pricing are essential aspects of cloudlet technology. Hence in this study we first investigate existing cloud based pricing models with the aim of adopting each model to suite cloudlet based scenarios. To this end, we explore the use of a cost-benefit approach for analyzing the performance of pricing models in cloudlets. Hypothetical results show that fixed pricing models are better suited for cloudlets with respect to fairness from both customer and provider perspectives.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115455670","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 Exploration of Machine Learning Models to Forecast the Unemployment Rate of South Africa: A Univariate Approach","authors":"Rudzani Mulaudzi, Ritesh Ajoodha","doi":"10.1109/IMITEC50163.2020.9334090","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334090","url":null,"abstract":"The South African unemployment rate is 29.1%, this is the highest unemployment rate that the country has recorded since the 1970s. The country is in the top ten countries with the highest unemployment rates in the world. COVID-19 threatens to increase the unemployment rate above the 50% mark. A public policy intervention is the most suitable instrument for the country in order to address this problem, however, policy is reliant on accurate and reliable forecasting. This paper explores univariate machine learning techniques to forecast the South African unemployment rate. Six traditional statistical models are compared with seven machine learning models. The multi-layer perceptron achieves the lowest error rate, whilst the ridge regression model achieved the highest R - squared. These are closely followed by ARIMA, LASSO, and the elastic net, showing that machine learning models can forecast the South African unemployment rate with higher accuracy than traditional statistical methods.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123190166","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":"Rain Impairment Model for Satellite Communication Link Design in South Africa using Neural Network","authors":"A. O. Ayo, P. Owolawi, J. Ojo, L. J. Mpoporo","doi":"10.1109/IMITEC50163.2020.9334080","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334080","url":null,"abstract":"Over some decades, rain impairment has been considered as the major dominant impairment in microwave propagation especially at frequencies above 10 GHz. Tropospheric impairment gives rise to higher amount of loss, especially in the tropical and equatorial regions due to the high rain intensity in the region. Aside rain attenuation, other propagation impairments that affect satellite links include gaseous absorption, cloud attenuation and rain fade. These impairments usually posed some challenges in designing terrestrial and earth to satellite microwave links. In this study, the prediction of rain attenuation at frequencies above 12 GHz for line of sight earth to satellite links is investigated using 12 years (1994–2006) rain rate data for selected locations in South Africa. The prediction method use is based on machine learning ANNs (artificial neural networks) using rain rate and exceedance percentage as input data as a tool to predict rain-driven attenuation on the higher frequency satellite links in South Africa. This research aims to compare different models and make real time forecasting of rain attenuation data for earth-to space communication links (ESCL). The proposed model creditably observes good results for the Ka-down link frequency band in contrast to the ITU-R and Moupfouma models. The Results obtained will serves as a good tool for satellite-based digital transmission systems in South Africa","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"333 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124693500","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}
H. Kruger, Tiny du Toit, L. Drevin, Nicolaas Maree
{"title":"Acquiring sentiment towards information security policies through affective computing","authors":"H. Kruger, Tiny du Toit, L. Drevin, Nicolaas Maree","doi":"10.1109/IMITEC50163.2020.9334134","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334134","url":null,"abstract":"Information security policies (ISPs) are formalised rules and regulations to which users or employees are required to adhere to in order to safeguard information technology assets. It is an important tool to influence information security behaviour and is mandatory in most organisations. Given the importance of these policies, there is still a significant number of studies that report on the noncompliance to ISPs. Many research projects are conducted to explain this phenomenon -however, little or no attention is given to the opinion of users and employees about ISPs and the contents thereof. Surveys to obtain the opinion of employees on organisation and information security policies often resulted in response bias problems where answers are faked in order to provide an expected opinion. The purpose of this paper is to propose the use of affective computing and sentiment analysis to address this problem of response bias and to contribute to the evaluation of the quality of ISPs. An illustrative example is presented where a dataset based on facial expressions, derived from video recordings, was used to perform sentiment analysis to obtain an opinion. A deep learning neural network model was constructed to perform the sentiment analysis. This model was able to accurately classify opinions as positive, neutral or negative based on the original facial expressions. The paper is concluded with brief remarks and comments on the relevance of the study for ISPs and the opportunities created for further education of users and employees.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121646918","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":"Impact that Website Design Elements on the Users of e-Commerce Websites","authors":"BD Clarke, M. Hattingh","doi":"10.1109/IMITEC50163.2020.9334070","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334070","url":null,"abstract":"This paper presents a systematic review of the literature surrounding the topic of e-commerce websites. It will look specifically at how the design of a website affects an individual's willingness to spend money on the site and see what other factors are impacted by the design of the website. This paper used keywords to search through 5 different academic databases. The search conducted returned 158 papers that met the inclusion criteria, from the returned papers the researcher was required to read through abstracts and titles, in doing so 54 papers were selected that met the criteria and would contribute towards the study. The following five factors were found to be the most commonly impacted: service quality, satisfaction, loyalty, willingness to buy and trust. These five factors were the result of the following six elements: aesthetic appeal, complexity, perceived risk, perceived value, website content and usefulness.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"165 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114334316","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":"Factors Affecting the Adoption of Smart Buildings at Universities","authors":"Felencia Linthea Lawrence, Osden Jokonya","doi":"10.1109/IMITEC50163.2020.9334145","DOIUrl":"https://doi.org/10.1109/IMITEC50163.2020.9334145","url":null,"abstract":"This study explores the factors that affect the adoption smart building at universities. The main research objective of the study was to understand the factors affect the adoption of smart buildings amongst universities. The study adopted the Technological-Organizational-Environmental (TOE) Theoretical framework to understand factors affecting the smart building. The study used a quantitative content analysis process to review literature published from 2013 to 2018. The study results suggest costs, security, complexity, usability, technical skills, financial resources, communication resources, management support and energy consumption were the most important factors on smart buildings adoption in organizations. The study contribute to our knowledge of factors affecting adoption of smart buildings in organizations.","PeriodicalId":349926,"journal":{"name":"2020 2nd International Multidisciplinary Information Technology and Engineering Conference (IMITEC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127008608","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}