Prof. Silvance O. Abeka
@jooust.ac.ke
Associate Professor- Department of Information Systems and Technology/ School of Informatics and Innovative Systems
Jaramogi Oginga Odinga University of Science and Technology
Prof. Silvance Onyango Abeka is a CUE Peer Reviewer for Curriculum Evaluation and Review of Academic Institution by Commission of University Education- Kenya, he is also an Associate Professor and a Director – Centre for E Learning of Jaramogi Oginga Odinga University of Science and Technology- Kenya. He worked previously as a Dean- School of Informatics and Innovative Systems- Jaramogi Oginga Odinga University of Science and Technology, Director- Institute of Open and Distance Learning at Africa Nazarene University and also as a Dean- Faculty of Applied Science and Technology of Kampala International University- Dar es Salaam Collage.
He has published widely in journals, conference proceedings and in books and sits on editorial boards of several peer reviewed journals. Prof. Silvance has broad corporate experience and is a Professional Member of Kenya University Quality Assurance Network, IEEE Computer Society, Computer Society of Kenya (CSK), Internet Society and ACM.
EDUCATION
PhD- Information Systems and Technology
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Management Information Systems, Artificial Intelligence, Information Systems and Management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Vincent Omollo Nyangaresi, Anthony J. Rodrigues, and Silvance O. Abeka
Springer International Publishing
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, and Silvance Onyango Abeka
Springer Science and Business Media LLC
Vincent O. Nyangaresi, Anthony J. Rodrigues, and Silvance O. Abeka
Springer International Publishing
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, and Silvance Onyango Abeka
IEEE
The fifth generation (5G) networks exhibit extremely low latency, extremely high bandwidth, and high density connections that are salient features for the support of vehicle to everything (V2X) services. Although a lot of research efforts have been directed towards addressing 5G technical issues for the support of V2X communications, these researches only concentrate on synchronization, physical layer structure or resource allocation. Very little research has been carried out on how to uphold message security as well as user privacy in V2X networks and as such, these networks still face a number challenges relating to privacy and secure payload exchanges. For instance, to facilitate cooperative driving, road conditions as well as vehicle status is shared among all neighbor autonomous vehicles. This is accomplished via periodical generation of notification messages. As such, message authentication is essential to prevent attacks and boost reliability in an autonomous platoon. Unfortunately, existing authentication protocols incur high computational and communication costs during the authentication process. Moreover, although novel access validation and key agreement schemes have been suggested, secure and efficient mobility management still faces many challenges owing to the high number of recurrent handovers and massive vehicular communications. To address these challenges, this paper sought to develop an efficient and secure protocol that was shown to have average communication and computational costs and also robust against impersonation, MitM, replay and eavesdropping attacks.
Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues, and Silvance Onyango Abeka
IEEE
Smart grids improve the management of various power network components as well as the monitoring of power flows. Their deployments require very fast communication channels, which can be facilitated by 5G networks. However, 5G’s ultra-densification boost system capacity and spectrum efficiency but introduce vulnerabilities due to the incorporation of many wireless network technologies and devices. The conventional 5G handover authentication protocols have security challenges that expose them to attacks such as message replay. As such, many authentication protocols have been proposed to secure smart grid data transmission. However, these protocols are unreliable in attacks detection and prevention, energy inefficient, have high latencies, heavy communication as well as computational overheads. In this paper, a 5G key management and handover protocol is developed to address some of these security and performance issues. The simulation results show that the proposed protocol preserves perfect forward key secrecy, is robust against de-synchronization, replay, man-in-the-middle (MITM), denial of services (DoS) and jamming attacks. Performance analysis showed that it has low communication overheads, space complexity and handover authentication latencies. Compared with 3GPP R16, the proposed protocol showed a 25% and 42.9% improvement in communication overheads and space complexity respectively.
RECENT SCHOLAR PUBLICATIONS
MOST CITED SCHOLAR PUBLICATIONS
Publications
My past published research after promotion to an Associate Professor Level includes:
• Anthony, R. , Solomon, O. , Silvance, A. and Newton, M. (2024) Case of Contingent Digital Practices and Attendant Asset-Based Risk Mitigation Framework for Learning and Assessment during the COVID-19 Pandemic. Open Journal of Social Sciences, 12, 257-273. doi: 10.4236/.
• Vincent Omollo Nyangaresi, Anthony Joachim Rodrigues and Silvance Onyango Abeka (2023) Secure Algorithm for IoT Devices Authentication, Industry 4.0 Challenges in Smart Cities, EAI/Springer Innovations in Communication and Computing,
• Everleen Nekesa Wanyonyi, Silvance Abeka, and Newton Masinde (2023), A Systematic Review on Machine Learning Insider Threat Detection Models, Datasets and Evaluation Metrics, International Journal of Network Security & Its Applications (IJNSA) , No.6.
• Yoga C. A, Rodrigues, A.J. & Abeka, S.O. (2023), Holistic Security Pattern-Based Model to Protect Network Architecture, International Journal of Research Publications, Vol 130(1), 268-278; doi:.10.47119/IJRP1001301820235295
• Yoga C. A, Rodrigues, A.J. & Abeka, S.O. (2023), Hybrid Machine Learning Approach for Attack Classification and Clustering in Network Security. International Journal of Computer Applications (0975 – 8887) Volume 185 – No. 31, August 2023
GRANT DETAILS
Project number and name: 101182256 - STREAMING
Topic: HORIZON-CL6-2024-FARM2FORK-01-11 - EU-African Union - towards climate-neutral, social just
fair trade food systems
Type of action: HORIZON Research and Innovation Actions
Requested grant amount (proposal): 4 433 773.75 EUR
Maximum grant amount (after evaluation): 4 433 773.75 EUR
Project duration: 42 months
Project name: Green Futures: Capacity and Cooperation for Transforming Agriculture project.
Amount: EURO 162,200 Equivalent to Kshs. 22,708,000
Project Period: 1st of April until 31st December 2025
Granting Authority: The German Federal Ministry of Food and Agriculture
Project name: Cooperation for Holistic Agriculture Innovation Nests in Sub-Saharan Africa (CHAIN)
Amount: EURO 781 824.00 Equivalent to Kshs 116,237,390.02
Project number: 101082963
Call: ERASMUS-EDU-2022-CBHE
Topic: ERASMUS-EDU-2022-CBHE-STRAND-2
Type of action: ERASMUS Lump Sum Grants
Granting authority: European Education and Culture Executive Agency
Grant managed through EU Funding & Tenders Portal: Yes (eGrants)
Project duration: 36 months from 1/06/2023
Consortium agreement: Yes
Project Name: Strengthening Jaramogi Oginga Odinga University of Science and Technology Capacity in Natural Resource Management, Food Security and Health
Funding Body : VLIR-UOS (VLIR-Universitaire Ontwikkelingssamenwerking) (VLIR-University Cooperation for Development)
Amount: € 60,000 Per Year for 12 years
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
• Odiango H. M, Abeka, S.O. & Liyala, S. O. (2022), Health information systems security: Risks, prospects and frameworks, World Journal of Advanced Engineering Technology and Sciences, 06(02), 057–070.
• Abwao D., Abeka S. O. & Agola J. O. (2022), An Integrated Mobile Identity Authentication Model, International Research Journal of Innovations in Engineering and Technology, Volume 6, Issue 1, pp 68-76
• Odiaga, G., Awiti, C, Abong’o, R., Odera, D, Akech, P. & Abeka, S. O (2022), Exploration of Cyber Security in a Work- from-Home Environment, International Journal of Innovative Science, Engineering & Technology, Vol. 09 Issue 04
• Auko J. & Abeka S. O. (2022), Wireless body area networks: A critical review of the state-of-the-art security schemes, Global Journal of Engineering and Technology Advances, 2022, 12(01), 131–146, Article DOI:
• Nyangaresi, V.O., Rodrigues, A.J. & Abeka, S.O. (2022), Machine Learning Protocol for Secure 5G Handovers. Int J Wireless Inf Networks 29, 14–35 (2022).
• Vincent Omollo Nyangaresi, Silvance O. Abeka, Anthony J. Rodrigues, (2020), "Tracking Area Boundary-aware Protocol for Pseudo Stochastic Mobility Prediction in LTE Networks" (2020), International Journal of Information Technology and Computer Science(IJITCS), , No.5, , 2020. DOI: 10.5815/