http://hdl.handle.net/123456789/1121 Thu, 09 Apr 2026 23:45:26 GMT 2026-04-09T23:45:26Z http://hdl.handle.net/123456789/1268 A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques Muriithi, N. M.,; Mwangi, E; Malanga, K. Every year, phishing results in losses of billions of dollars and is a major threat to the Internet economy. Phishing attacks are now most often carried out by email. To better comprehend the existing research trend of phishing email detection, several review studies have been performed. However, it is important to assess this issue from different perspectives. None of the surveys have ever comprehensively studied the use of Natural Language Processing (NLP) techniques for detection of phishing except one that shed light on the use of NLP techniques for classification and training purposes, while exploring a few alternatives. To bridge the gap, this study aims to systematically review and synthesise research on the use of NLP for detecting phishing emails. Based on specific predefined criteria, a total of 100 research articles published between 2006 and 2022 were identified and analysed. We study the key research areas in phishing email detection using NLP, machine learning algorithms used in phishing detection email, text features in phishing emails, datasets and resources that have been used in phishing emails, and the evaluation criteria. The findings include that the main research area in phishing detection studies is feature extraction and selection, followed by methods for classifying and optimizing the detection of phishing emails. Amongst the range of classification algorithms, support vector machines (SVMs) are heavily utilised for detecting phishing emails. The most frequently used NLP techniques are found to be TF-IDF and word embeddings. Furthermore, the most commonly used datasets for benchmarking phishing email detection methods is the Nazario phishing corpus. Also, Python is the most commonly used one for phishing email detection. It is expected that the findings of this paper can be helpful for the scientific community, especially in the field of NLP application in cybersecurity problems. This survey also is unique in the sense that it relates works to their openly available tools and resources. The analysis of the presented works revealed that not much work had been performed on Arabic language phishing emails using NLP techniques. Therefore, many open issues are associated with Arabic phishing email detection Fri, 24 Jun 2022 00:00:00 GMT http://hdl.handle.net/123456789/1268 2022-06-24T00:00:00Z http://hdl.handle.net/123456789/1222 Influence of Students’ Participation in Young Farmers’ Club on Performance in Agriculture in Secondary Schools in Suba Sub-County, Kenya Muok J. O., Nkurumwa A. O. & Kinuthia L Agriculture is one of the most important sectors for economic growth in Kenya. Setting up of young farmers’ club (YFC) in secondary schools is one way of attracting young people in agriculture as well as developing their production skills. Inadequate participation in young farmers’ club may lead to poor performance in agriculture and negative attitude towards the subject by secondary school students.The aim of this study was to determine the influence of students’ participation in young farmers’ club on performance in agriculture subject in secondary schools in Suba SubCounty. A cross-sectional survey research design was employed in the study which targeted 628 Form Three agriculture students in public secondary schools in Suba Sub-County. Data was collected from an accessible population of 286 Form Three Young Farmers’ Club members in 37 public secondary schools in Suba Sub-County. Stratified random sampling was used to get the study sample of 126 respondents. Data was collected using semi-structured questionnaires. Experts from the field of Agricultural Education and Extension of Egerton University assessed the instrument to ensure validity. Reliability was estimated through a pilot testing of 30 agriculture students in five secondary schools in neighbouring Nyatike Sub-County. The reliability was estimated using Cronbach alpha co-efficient where a co-efficient of 0.817 was computed and taken as satisfactory. Data was arranged,coded and analyzed using SPSS version 25. The study findings revealed that students’ performance in agriculture subject is significantly enhanced by participation in Young Farmers’ Club. This study recommends that students’ participation in Young Farmers’ Club activities should be encouraged in all secondary schools as a way of augmenting the students’ performance in agriculture subject. This can be done by availing adequate time for YFC’s activities. In addition, students in YFCs should be accorded with the required facilities in order to make their participation worthwhile. Mon, 30 Sep 2024 00:00:00 GMT http://hdl.handle.net/123456789/1222 2024-09-30T00:00:00Z http://hdl.handle.net/123456789/1221 Contribution of Climate-Smart Agricultural Practices on Food Availability among Smallholder Farmers in Laikipia County, Kenya Kenduiwa, A. A., Kinuthia, L., Recha, C. W., & Mwonya, R. A. Climate change has negatively impacted on bio-diversity, rural livelihoods, national and global economies. Several smallholder farmers in Laikipia County have adopted a number of Climate Smart Agricultural Practices (CSAPs) as mitigation measures and coping strategies, including water harvesting and use, conservation agriculture, agroforestry, pest and disease control, and crop diversification. This study sought to assess the contribution of climate smart agricultural practices on food availability among smallholder farmers in Laikipia County, Kenya. It was guided by the action theory of adaptation and the correlation research design was used. The accessible population were 74,282 households who were practicing small scale farming in Laikipia County during the 2021/2022 cropping season. A multi-stage sampling technique was used to obtain a representative sample of 384. Questionnaire and Key Informant Interviews (KIIs) were used to collect primary data. Descriptive and inferential statistics (ordered logistic regression) using Statistical Package for Social Scientists (SPSS) program version 28 were used to analyze data. Results showed that food availability significantly improved as a result of climate-smart agriculture [the coefficient for Climate-Smart Agriculture (0.400) was positive and statistically significant at 5% (p-value = 0.000)]. Smallholder farmers who have not implemented CSAPs recommendations should be encouraged to start practicing due to its positive contribution to food availability Wed, 13 Nov 2024 00:00:00 GMT http://hdl.handle.net/123456789/1221 2024-11-13T00:00:00Z http://hdl.handle.net/123456789/1217 Characterisation of alkali-treated novel cellulosic fibres derived from Dombeya Buettneri plant as a potential reinforcement for polymer composites Ondieki, B., & Isiaka, O. The present study evaluates the influence of alkali treatment using 2, 4, and 8 wt.% sodium hydroxide concentration solutions on novel cellulosic fibres manually extracted from the bark of dombeya buettneri plant (DBF). Alkali-treated fibres were characterised through physical and mechanical properties determination, Fourier transform infrared spectroscopy, X-ray diffraction, quantitative chemical analysis, thermogravimetric analysis, and scanning electron microscopy. Quantitative chemical analysis revealed a significant increment in cellulose content, reaching 67 ± 1.7% in DBF treated with 4 wt.% NaOH solution, accompanied by substantial reductions in lignin and hemicelluloses as confirmed by FTIR spectroscopy. XRD analysis showed an improved crystallinity index of 80% and crystallite size of 2.64 nm for 4 wt.% alkali-treated DBF. Additionally, 4 wt.% alkali-treated fibres yielded peak values of breaking force (40 N) and breaking tenacity (181 cN/Tex). SEM analysis confirmed enhanced surface roughness post-treatment, an indication of enhanced fibre/matrix interlocking during composite fabrication, whereas TGA analysis reported improved thermal stability post-treatment. EDX analysis confirmed that the C/O ratio is proportional to alkali solution concentration, indicating effective removal of non-cellulosic contents. In conclusion, treating DBF with 4 wt.% NaOH concentration improves their physical, mechanical, and chemical properties, suggesting their potential for polymer composite applications. Mon, 19 Aug 2024 00:00:00 GMT http://hdl.handle.net/123456789/1217 2024-08-19T00:00:00Z