• An Enhanced Hybrid Machine Learning Model for Detecting DoS Attacks in IoT Network. 

  Ngunyi, Beatrice; Muriuki, David; Anyembe, Andrew (Fifth Dimension Research Publication., 2025)

  The rapid expansion of Internet of Things (IoT) infrastructures has introduced new security vulnerabilities, particularly Denial of Service (DoS) attacks that compromise system availability and disrupt critical services. ...
• A Unified Adaptive Cyber Threat Intelligence Model for Real-Time IoT Security Using Machine Learning and GAN-Based Augmentation. 

  Mwende, Elizabeth; Mukudi, Fidelis; Mile, Anthony (Science publishing group, 2025-09-13)

  The rapid rise of Internet of Things (IoT) devices has made cybersecurity much more dangerous and vulnerable, emphasizing the critical necessity for adaptive intrusion detection systems (IDS) to safeguard IoT networks. ...
• Machine learning model for treasury bill yields prediction in Kenya. 

  Mung’are Njeri, Kennedy; Anyika, Emma; Hadullo, Kennedy (Global Journal of Engineering and Technology Advances, 2025)

  In this paper, we investigated the issue of forecasting the yields of treasury bills in the Kenyan financial market which is both volatile and complicated, and which traditional models of forecasting may fail because of ...
• To Strengthen the Cybersecurity Posture of SACCOs in Kenya by Assessing Current Practices, developing a CTI Sharing Platform, And Formulating Supportive Policy Guidelines 

  Kiprotich Sigei, Pius; Mbandu Angolo, Shem; Omala, Andrew (International institute for science technology and education organization., 2025-09-25)

  The study investigated to strengthen the cybersecurity posture of SACCOs in Kenya by assessing current practices, developing a CTI sharing platform, and formulating supportive policy guidelines and was based on the following ...
• Deep Learning Approaches to Multimodal Sustainable Report Analysis 

  Sawe Chepkogei, Sarah; Wanjoya, Anthony; Kipkebut, Andrew (Fifth Dimension Research Publication, 2025)

  This review paper explores the application of deep learning techniques for analyzing multimodal sustainable reports, with a particular focus on enhancing categorization accuracy and deriving deeper ESG insights. Sustainable ...

View more