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| 1 | Chemical composition and mosquito repellency of essential oil of Conyza newii propagated in different geographical locations of Kenya显示文摘 | W. P. MAYEKU N. I. OMOLLO O. J. ODALO A. HASSANALI | 2014 | Med Vet Entomol2014，，3： | 1 |
| 2 | Efficient Feature Selection and ML Algorithm for Accurate Diagnostics显示文摘Machine learning algorithms have been deployed in numerous optimization,prediction and classification problems.This has endeared them for application in fields such as computer networks and medical diagnosis.Although these machine learning algorithms achieve convincing results in these fields,they face numerous challenges when deployed on imbalanced dataset.Consequently,these algorithms are often biased towards majority class,hence unable to generalize the learning process.In addition,they are unable to effectively deal with high-dimensional datasets.Moreover,the utilization of conventional feature selection techniques from a dataset based on attribute significance render them ineffective for majority of the diagnosis applications.In this paper,feature selection is executed using the more effective Neighbour Components Analysis(NCA).During the classification process,an ensemble classifier comprising of K-Nearest Neighbours(KNN),Naive Bayes(NB),Decision Tree(DT)and Support Vector Machine(SVM)is built,trained and tested.Finally,cross validation is carried out to evaluate the developed ensemble model.The results shows that the proposed classifier has the best performance in terms of precision,recall,F-measure and classification accuracy. | Vincent Omollo Nyangaresi Nidhal Kamel Taha El-Omari Judith Nyakanga Nyakina | 2022 | Journal of Computer Science Research2022，4，1： | 1 |
| 3 | Efficient Authentication Algorithm for Secure Remote Access in Wireless Sensor Networks显示文摘Wireless sensor networks convey mission critical data that calls for adequate privacy and security protection.To accomplish this objective,numerous intrusion detection schemes based on machine learning approaches have been developed.In addition,authentication and key agreements techniques have been developed using techniques such as elliptic curve cryptography,bilinear pairing operations,biometrics,fuzzy verifier and Rabin cryptosystems.However,these schemes have either high false positive rates,high communication,computation,storage or energy requirements,all of which are not ideal for battery powered sensor nodes.Moreover,majority of these algorithms still have some security and privacy challenges that render them susceptible to various threats.In this paper,a WSN authentication algorithm is presented that is shown to be robust against legacy WSN privacy and security attacks such as side-channel,traceability,offline guessing,replay and impersonations.From a performance perspective,the proposed algorithm requires the least computation overheads and average computation costs among its peers. | Peter Sungu Nyakomitta Vincent Omollo Nyangaresi Solomon Odhiambo Ogara | 2021 | Journal of Computer Science Research2021，3，4： | 1 |
| 4 | Aetiology and factors associated with bacterial diarrhoeal diseases amongst ur- ban refugee children in Eastleigh,Kenya: A case control study: original research显示文摘 | Boru W G Kikuvi G Omollo J | 2013 | African Journal of Laboratory Medicine2013，2，1： | 1 |
| 5 | Provably secure authentication protocol for traffic exchanges in unmanned aerial vehicles显示文摘Unmanned aerial vehicles offer services such as military reconnaissance in potentially adversarial controlled regions.In addition,they have been deployed in civilian critical infrastructure monitoring.In this environment,real-time and massive data is exchanged between the aerial vehicles and the ground control stations.Depending on the mission of these aerial vehicles,some of the collected and transmitted data is sensitive and private.Therefore,many security protocols have been presented to offer privacy and security protection.However,majority of these schemes fail to consider attack vectors such as side-channeling,de-synchronization and known secret session temporary information leakages.This last attack can be launched upon adversarial physical capture of these drones.In addition,some of these protocols deploy computationally intensive asymmetric cryptographic primitives that result in high overheads.In this paper,an authentication protocol based on lightweight quadratic residues and hash functions is developed.Its formal security analysis is executed using the widely deployed random oracle model.In addition,informal security analysis is carried out to show its robustness under the Dolev–Yao(DY)and Canetti–Krawczyk(CK)threat models.In terms of operational efficiency,it is shown to have relatively lower execution time,communication costs,and incurs the least storage costs among other related protocols.Specifically,the proposed protocol provides a 25%improvement in supported security and privacy features and a 6.52%reduction in storage costs.In overall,the proposed methodology offers strong security and privacy protection at lower execution time,storage and communication overheads. | Vincent Omollo Nyangaresi | 2023 | High-Confidence Computing2023，3，4： | 0 |
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