- Title
- Towards intrusion detection to secure VANET-assisted healthcare monitoring system
- Creator
- Ahmad, Iftikhar; Ahmad, Irshad; Amin, Fazal,; Imran, Muhammad; Sattar, Kashif
- Date
- 2017
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/181490
- Identifier
- vital:15925
- Identifier
-
https://doi.org/10.1166/jmihi.2017.2199
- Identifier
- ISBN:2156-7018 (ISSN)
- Abstract
- Remote healthcare monitoring (RHM) has been used in contemporary disease management to improve the quality of life. A Secure VANET-Assisted Remote Healthcare Monitoring System is very importance due to privacy and sensitivity of the health data. In wireless network different kind of attacks produce and involve the core functionality of VANET-Assisted Remote Healthcare Monitoring System. DoS and DDoS are two important attacks and both are related to the network availability. This study provides the detail description and working mechanism of DoS and DDoS attack in VANET-Assisted Remote Healthcare Monitoring System. Further, it proposes the possible solutions to detect and prevent such attacks in network and make sure for end users to continuous access the network. Moreover, the random forest algorithm is proposed and applied to the benchmarked dataset for the detection of the attacks that may improve the security of RHM systems. The performance is addressed in accuracy, precision and recall metrics. © 2017 American Scientific Publishers All rights reserved. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Muhammad Imran” is provided in this record**
- Publisher
- American Scientific Publishers
- Relation
- Journal of Medical Imaging and Health Informatics Vol. 7, no. 6 (2017), p. 1391-1398
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2017 American Scientific Publishers
- Subject
- 4003 Biomedical Engineering; 3299 Other Biomedical and Clinical SciencesDataset; Denial of Service (DoS); Distributed Denial of Service (DDoS); Random Forest (RF); Remote Healthcare Monitoring (RHM); Vehicular Ad Hoc Network (VANET)
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