• Predictive Health Monitoring of Multimorbidity:A Simulation Experiment using OPNET Modeller 

  Barasa, Samuel (International Journal of Computer Science and Mobile Computing, 2023-08)

  Primary health care services are increasingly at the heart of integrated people-centred. They provide an entry point into the health system, ongoing care coordination and a person focused approach. Patient safety incidents ...
• Designing Lost and Found Web Applications, Based on Trusted Third Party Model 

  Githinji, Stanley (Applied Information Technology Research enter, 2015)

  Items are becoming more valuable and technology is Changing expectations of customers and business. This paper analyzes current lost and found web applications and proposes design of lost and ...
• Automatic Speech Recognition and Verification using LPC, MFCC and SVM 

  Oirere, Aaron (international journal of computer applications, 2015)

  Speech has much capability as an interface between human and computer which comes under the Human Computer interaction (HCI). The major challenge has been the nature of voice is ever varying speech signal. The paper presents ...
• Application of Real-Time Streaming Technology in Tour Mediation 

  Githinji, Stanley (International Journal of Engineering Research & Technology, 2017-12)

  This research adopted streaming technological mediator as additional information source. The streaming component provides live experience on destination attractions to potential tourists to assist them to make informed ...
• Effect of Network Accessibility on Record Maintenance in Technical and Vocational Education and Training Institutions in Kenya: (A Case Study of Nyandarua Institute of Science and Technology) 

  Githinji, Stanley; Mathangani, Salome; Kariuki, Pauline (IOSR Journal Of Humanities And Social Science, 2019-07)

  The physical appearance and content are the major characteristics that describe a record. Physical appearance is tangible while contents are intangible aspects of a record. The format, size and contents of records differ ...
• A Bio-Data Privacy Protection Framework for the Telecommunications Industry in Kenya 

  Githinji, Stanley; Njenga, Adrian; Katuu, Christopher (2018-10)

  Privacy is a basic human need which should be protected legally. Right to privacy provides individuals capability of determining to what extent their personal information shall be communicated to others. The concept of ...
• Electoral Result Transmission Model Based on RSA and AES Algorithm 

  Githinji, Stanley (International Journal of Multidisciplinary in Cryptology and Information Security, 2019-02)

  In this paper a new Electoral Result Transmission Model (ERTM) is developed based on Advanced Encryption Standard (AES) and RSA algorithm. The model provide mechanisms for encrypting electoral text results and scanned image ...
• Digital Forensics Policies for Forensics Readiness in Organizations 

  Githinji, Stanley (Journal of Language, Technology & Entrepreneurship in Africa, 2022-02)

  As the technological trends in Digital Forensics keep changing, new challenges are also constantly mushrooming in the domain which needs to be resolved. This research focused on identifying forensic policies which can ...
• Secured Federated Learning for DDoS Detection in Heterogenous Telecom Cloud Networks using Recurrent Neural Networks 

  Githinji, Stanley; Ataro, Edwin; Maiga, Abdoul-Aziz (International Journal of Electrical and Electronics Engineering, 2023)

  The recent evolution of cloud computing has enabled the cloudification of Telecommunication (Telecom) network functions. The cloud-based Telecom infrastructure is more scalable, flexible, and cost-efficient for service ...
• Intrusion Detection with Deep Learning Classifiers: A Synergistic Approach of Probabilistic Clustering and Human Expertise to Reduce False Alarms 

  Githinji, Stanley; Ataro, Edwin; Maiga, Abdoul-Aziz (IEEE, 2024-01)

  Intrusion detection systems (IDS) have seen an increasing number of proposals by researchers utilizing deep learning (DL) to safeguard critical networks. However, they often suffer from high false alarm rates, posing a ...
• Influence of Cognitive Agility of Cyber Operators on Situational-Aware Cyberspace Protection 

  Njoga, David; Liyala, Samuel; Abeka, Silvance (International Journal of Innovative Research and Advanced Studies, 2022-03)

  The effectiveness of the cyberspace protection for the national critical information infrastructure (CII) depends on a dynamically and reliably established cyberspace situational awareness framework. The current attribution ...
• Critical Information Infrastructure Cyberspace Situational Awareness: Measure it, Manage it 

  Njoga, David; Liyala, Samuel; Abeka, Silvance (International Journal of Scientific and Research Publications, 2022-04)

  The sustainable development goals (SDGs) were designed to serve as a useful guide for focused and coherent action on sustainable development at the global, regional, national and local levels, and also help to mainstream ...
• Evaluating Linear and Non-Linear Dimensionality Reduction Approaches for Deep Learning-Based Network Intrusion Detection Systems 

  Oirere, Aaron; Wambugu, Geoffrey; Wanjau, Stephen (International Journal of Wireless and Microwave Technologies, 2023-08)

  IDimensionality reduction is an essential ingredient of machine learning modelling that seeks to improve the performance of such models by extracting better quality features from data while removing irrelevant and redundant ...
• Discriminative Spatial-Temporal Feature Learning for Modeling Network Intrusion Detection Systems 

  Oirere, Aaron; Muketha, Geoffrey; Mariga, Geoffrey; Wanjau, Stephen (Journal of Computer Security, 2024-02)

  Increasing interest and advancement of internet and communication technologies have made network security rise as a vibrant research domain. Network intrusion detection systems (NIDSs) have developed as indispensable defense ...
• A Comparative Study of Deep Learning and Transfer Learning in Detection of Diabetic Retinopathy 

  Oirere, Aaron; Wambugu, Geoffrey; Kamiri, Jackson (International Journal of Computer Applications Technology and Research, 2022)

  Computer vision has gained momentum in medical imaging tasks. Deep learning and Transfer learning are some of the approaches used in computer vision. The aim of this research was to do a comparative study of deep learning ...
• Network Intrusion Detection Systems: A Systematic Literature Review of Hybrid Deep Learning Approaches 

  Oirere, Aaron; Wambugu, Geoffrey; Stephen, Wanjau (International Journal of Emerging Science and Engineering, 2022-06)

  Network Intrusion Detection Systems (NIDSs) have become standard security solutions that endeavours to discover unauthorized access to an organizational computer network by scrutinizing incoming and outgoing network traffic ...
• A Systematic Literature Review of Meta-Learning Models for Classification Tasks 

  Oirere, Aaron; Mariga, Geoffrey; Kamiri, Jackson (International Journal of Computer Applications Technology and Research, 2022)

  Meta-learning is a field of learning that aims at addressing the challenges of conventional machine learning approaches such as learning from scratch for every new task. The main aim of this study was to do a systematic ...
• Detection of Visual Similarity Snooping Attacks in Emails using an Extended Client Based Technique 

  Oirere, Aaron; Wambugu, Geoffrey; Muhindi, George (International Journal of Engineering and Advanced Technology, 2021-01)

  This paper provides an Extended Client Based Technique (ECBT) that performs classification on emails using the Bayessian classifier that attain in-depth defense by performing textual analysis on email messages and attachment ...
• An Enhanced Multiview Test Case Generation Technique for Object-Oriented Software using Class and Activity Diagrams 

  Oirere, Aaron; Muketha, Geoffrey; Mburu, James (International Journal of Recent Technology and Engineering, 2020-11)

  Software testing is one of the vital steps in software development life cycle. Test case generation is the first process in software testing which takes a lot of time, cost and effort to build an effective product from the ...
• A Literature Survey of Visual Similarity Snooping Attacks in Emails 

  Oirere, Aaron; Wambugu, Georey; Muhindi, George (International Journal of Network Security, 2020-07)

  Snooping is one of the most significant issues that the cybersecurity industry faces in this modern era of technology, leading to substantial financial losses for individuals and organizations. The detection of snooping ...

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