About

Research

Research Areas Projects Publications

Community

Events News Affiliations

Membership

Contact

Journal · 2022

Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach

Sudhakar Sengan, Osamah Ibrahim Khalaf, Vidya Sagar P., Dilip Kumar Sharma, Arokia Jesu Prabhu L., Abdulsattar Abdullah Hamad, AROKIA LAZER

Cited by 60 International Journal of Reliable and Quality E-Healthcare DOI

Abstract

No abstract has been published for this record yet. The publisher has not deposited one — you can read the paper via its DOI.

Other publications from the same authors

2026

BookIntellivest: An AI-Enhanced Gamified Platform for Financial Literacy Education

Information Systems Engineering and Managementdoi.org/10.1007/978-3-032-32709-3_7

ConferenceAdvancing Alzheimer’s Diagnosis: A Deep Learning-Based Multi-stage Identification Method

Lecture Notes in Networks and Systemsdoi.org/10.1007/978-981-96-7477-0_49

JournalMulti-objective optimization of hybrid renewable microgrids integrating solar, wind, and biomass for rural electrification

Clean Energy Science and Technologydoi.org/10.18686/cest635

BookFruit deterioration detection for farmers with machine learning techniques making use of image processing

AIP Conference Proceedingsdoi.org/10.1063/5.0318897

2025

ConferenceNavigating Future Coronary Heart Disease Scenarios with Ensemble Learning

Cognitive Science and Technologydoi.org/10.1007/978-981-97-9262-7_31

BookMachine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations

Information Systems Engineering and Managementdoi.org/10.1007/978-3-031-97709-1_4

Related publications from other authors

Work by different authors, ranked by shared research area, venue and topic.

2026

ConferenceEvaluating Centralised and Federated Learning YOLOv8-Based Object Detection for Intelligent Transportation Systems

doi.org/10.1109/CI2A69097.2026.11576852

JournalAdversarial Training and Differential Privacy-Style Noise Injection for Privacy-Preserving Vertical Federated Learning

Informaticsdoi.org/10.3390/informatics13080127

2025

JournalPerception: A Systematic Review of Federated Learning for Privacy-Preserving Detection of Mixed Road Users in Intelligent Transportation Systems (ITS)

International Journal of Development Mathematics (IJDM)doi.org/10.62054/ijdm/0204.12

ConferenceA Machine Learning Approach for Effective Diabetes Prediction

2025 IEEE International Conference on Quantum Photonics Artificial Intelligence and Networking Qpain 2025doi.org/10.1109/QPAIN66474.2025.11171900

Journal5G and AI: Addressing Security Challenges in Next-Generation Wireless Networks Through Machine Learning and Cryptographic Solutions

VAWKUM Transactions on Computer Sciencesdoi.org/10.21015/vtcs.v13i1.2074

JournalFederated learning for secure medical MRI brain tumor image classification

The European Physical Journal Special Topicsdoi.org/10.1140/epjs/s11734-025-01516-z

Publication details

Venue: International Journal of Reliable and Quality E-Healthcare
Type: Journal · 2022
DOI: 10.4018/IJRQEH.289175
Citations: 60 · via Crossref, 17 September 2026

Cite this publication

Copy a ready-formatted citation in your preferred style.

APA

Sengan, S., Khalaf, O. I., P., V. S., Sharma, D. K., L., A. J. P., Hamad, A. A., & LAZER, A. (2022). Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach. International Journal of Reliable and Quality E-Healthcare. https://doi.org/10.4018/IJRQEH.289175

Harvard

Sengan, S., Khalaf, O.I., P., V.S., Sharma, D.K., L., A.J.P., Hamad, A.A. and LAZER, A. (2022) 'Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach', International Journal of Reliable and Quality E-Healthcare. doi: 10.4018/IJRQEH.289175.

IEEE

S. Sengan, O. I. Khalaf, V. S. P., D. K. Sharma, A. J. P. L., A. A. Hamad, and A. LAZER, "Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach," International Journal of Reliable and Quality E-Healthcare, 2022. doi: 10.4018/IJRQEH.289175.

Vancouver

Sengan S, Khalaf OI, P. VS, Sharma DK, L. AJP, Hamad AA, et al. Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach. International Journal of Reliable and Quality E-Healthcare. 2022. doi: 10.4018/IJRQEH.289175.

MLA

Sengan, Sudhakar, et al.. "Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach." International Journal of Reliable and Quality E-Healthcare, 2022. https://doi.org/10.4018/IJRQEH.289175.

Chicago

Sengan, S., Khalaf, O. I., P., V. S., Sharma, D. K., L., A. J. P., Hamad, A. A., LAZER, A.. "Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach." International Journal of Reliable and Quality E-Healthcare (2022). https://doi.org/10.4018/IJRQEH.289175.

BibTeX

@article{sengan2022, title={Secured and privacy-based IDS for healthcare systems on e-medical data using machine learning approach}, author={Sengan, Sudhakar and Khalaf, Osamah Ibrahim and P., Vidya Sagar and Sharma, Dilip Kumar and L., Arokia Jesu Prabhu and Hamad, Abdulsattar Abdullah and LAZER, AROKIA}, journal={International Journal of Reliable and Quality E-Healthcare}, year={2022}, doi={10.4018/IJRQEH.289175}, }

← All publications