Threat Intelligence Model to Secure IoT Based Body Area Network and Prosthetic Sensors
- Title
- Threat Intelligence Model to Secure IoT Based Body Area Network and Prosthetic Sensors
- Creator
- Sharma D.; Singhal T.K.; Singh D.
- Description
- This research work proposes a threat intelligence model for Internet-of-Things (IoT) sensors-based Body Area Network (BAN). It is focused primarily to be used in healthcare monitoring of vital parameters of critically ill patients and on the contrary performance measurement system for healthy sportspersons. The end-point control based applications are growing enormously with the advent of IoT based sensors and actuators being used in intelligent real-time systems. At the same time, it is expected to keep the ecosystem safe for the user while delivering the constant updates. However, the process for the monitoring health and wellness parameters of a patient, or measuring endurance and performance of a sportsperson, it remains vulnerable without a secure environment. Using the proposed model, the entire healthcare ecosystem may be designed for the personalized medication of a patient who are using sophisticated life-saving device like prosthetic heart valve or an elderly person dependent on medical-aided ambulatory devices or a sportsperson on performance measurement system. The Electrochemical Society
- Source
- ECS Transactions, Vol-107, No. 1, pp. 15417-15425.
- Date
- 2022-01-01
- Publisher
- Institute of Physics
- Coverage
- Sharma D., School of Business Management, Christ University, Delhi-NCR, U.P, 201003, India; Singhal T.K., School of Business Management, Christ University, Delhi-NCR, U.P, 201003, India; Singh D., Department of Marketing, Jaipuria Institute of Management, U.P, Noida, 201309, India
- Rights
- Restricted Access
- Relation
- ISSN: 19386737; ISBN: 978-160768539-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Sharma D.; Singhal T.K.; Singh D., “Threat Intelligence Model to Secure IoT Based Body Area Network and Prosthetic Sensors,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20359.