| A survey of differential privacy-based techniques and their applicability to location-based services JW Kim, K Edemacu, JS Kim, YD Chung, B Jang Computers & Security 111, 102464, 2021 | 48 | 2021 |
| Privacy-preserving mechanisms for location privacy in mobile crowdsensing: A survey JW Kim, K Edemacu, B Jang Journal of Network and Computer Applications 200, 103315, 2022 | 46 | 2022 |
| Privacy provision in collaborative ehealth with attribute-based encryption: Survey, challenges and future directions K Edemacu, HK Park, B Jang, JW Kim IEEE Access 7, 89614-89636, 2019 | 45 | 2019 |
| Collaborative ehealth privacy and security: An access control with attribute revocation based on OBDD access structure K Edemacu, B Jang, JW Kim IEEE journal of biomedical and health informatics 24 (10), 2960-2972, 2020 | 36 | 2020 |
| MPPDS: multilevel privacy-preserving data sharing in a collaborative eHealth system JW Kim, K Edemacu, B Jang IEEE Access 7, 109910-109923, 2019 | 30 | 2019 |
| Packet drop attack detection techniques in wireless ad hoc networks: a review K Edemacu, M Euku, R Ssekibuule arXiv preprint arXiv:1410.2023, 2014 | 25 | 2014 |
| Resource sharing between M2M and H2H traffic under time-controlled scheduling scheme in LTE networks K Edemacu, T Bulega 2014 8th International Conference on Telecommunication Systems Services and …, 2014 | 24 | 2014 |
| CESCR: CP-ABE for efficient and secure sharing of data in collaborative ehealth with revocation and no dummy attribute K Edemacu, B Jang, JW Kim PloS one 16 (5), e0250992, 2021 | 16 | 2021 |
| Efficient and expressive access control with revocation for privacy of PHR based on OBDD access structure K Edemacu, B Jang, JW Kim IEEE Access 8, 18546-18557, 2020 | 9 | 2020 |
| Multi-party privacy-preserving logistic regression with poor quality data filtering for IoT contributors K Edemacu, JW Kim Electronics 10 (17), 2049, 2021 | 6 | 2021 |
| Poacher detection in African game parks and reserves with IoT: Machine learning approach K Edemacu, JW Kim, B Jang, HK Park 2019 International Conference on Green and Human Information Technology …, 2019 | 5 | 2019 |
| Reliability check via weight similarity in privacy-preserving multi-party machine learning K Edemacu, B Jang, JW Kim Information sciences 574, 51-65, 2021 | 3 | 2021 |
| Privacy Preserving Prompt Engineering: A Survey K Edemacu, X Wu arXiv preprint arXiv:2404.06001, 2024 | 1 | 2024 |
| DP-TabICL: In-Context Learning with Differentially Private Tabular Data AN Carey, K Bhaila, K Edemacu, X Wu arXiv preprint arXiv:2403.05681, 2024 | 1 | 2024 |
| Scalable Multi-Party Privacy-Preserving Gradient Tree Boosting over Vertically Partitioned Dataset with Outsourced Computations K Edemacu, JW Kim Mathematics 10 (13), 2185, 2022 | 1 | 2022 |
| Information Quality and Information Systems Success: Perspective of Monitoring, Evaluation, Accountability and Learning Information Systems Grounded on DeLone and McLean Model P Andresile, JMO Tukei, CD Alupo, L Tukei, K Edemacu Research gate, 2022 | 1 | 2022 |
| The Influence of Management Quality on Monitoring, Evaluation, Accountability and Learning Information Systems Success: Extension of DeLone and McLean Model P Andresile, JM Okwadi Tukei, K Edemacu, L Tukei Research gate, 2022 | | 2022 |
