Abstract
Internet of healthcare things (IoHT) creates a network where healthcare sensors, smart healthcare objects and services linked independently. This raises a concern of security and integrity of the interconnected devices and services in IoHT. This paper presents a trust management model for IoHT using fuzzy logic. The fuzzy inference system will consider packet loss rate, aggregated transmission rate, end to end delay, received signal strength indicator, drained battery power and packet integrity of node as input parameters and identify trustworthiness (trusted/maliciousness) of a node. In addition, Chi-squared test is also employed to detect the fault node in the IoHT. The performance evaluation reveals that more than 92% accuracy has been achieved for the proposed model.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Networks and Systems |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 47-57 |
| Number of pages | 11 |
| DOIs | |
| State | Published - 2021 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 148 |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Bibliographical note
Publisher Copyright:© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Keywords
- FIS
- Faulty
- Fuzzy logic
- IoHT
- Malicious
- Trustworthy
ASJC Scopus subject areas
- Control and Systems Engineering
- Signal Processing
- Computer Networks and Communications
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