Adaptive Traffic Segregation and Simulation in Software-Defined Healthcare Networks

DOI

10.2991/978-94-6239-727-9_9How to use a DOI?

Keywords

Software Defined Network; SDN Network; Traffic Analysis

Abstract

Increasing dependency and demand on digital healthcare systems, needs for secure, efficient, and intelligent management of patient data traffic have become critical. This research explores the study of patient related network traffic in a Software-Defined Networking (SDN) environment. Some promising paradigms of SDN encompass the ability to manage the network centrally with greater flexibility and decoupling of the control plane from the data plane accompanied by increased level of security. SDN’s centralized architecture and programmability provide enhanced visibility and control over data flows. It makes highly suitable for handling sensitive healthcare data such as electronic health records (EHRs), real-time monitoring outputs, and medical imaging. The main objective of the research is to make sure that patient’s confidential data is transmitted safely and reliably in the hospital, clinic, telemedicine platform, and health information system environment. The scope includes monitoring the flows of patient’s data to get optimized network performance by ensuring regulatory compliance. This also includes to facilitates secure interoperability between healthcare systems along with enabled real-time clinical decision-making through traffic analytics. Key findings indicate that SDN-based traffic analysis significantly improves anomaly detection, reduces the risk of data breaches, and enhances the overall reliability, security, and efficiency of healthcare networks.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Bhargavi Dalal
AU  - Pooja Sapra
PY  - 2026
DA  - 2026/07/22
TI  - Adaptive Traffic Segregation and Simulation in Software-Defined Healthcare Networks
BT  - Proceedings of the International Conference on Sustainable Micro-Nano Materials & Innovative Technology (ICSUMMIT 2026)
PB  - Atlantis Press
SP  - 101
EP  - 125
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6239-727-9_9
DO  - 10.2991/978-94-6239-727-9_9
ID  - Dalal2026
ER  -