Internet of healthcare things security vulnerabilities and jamming attack analysis
Author:
Affiliation:
1. Department of Computer Engineering National Institute of Technology Kurukshetra Haryana India
2. Department of Computer Science and Engineering G. L. Bajaj Institute of Technology and Management Greater Noida Uttar Pradesh India
Publisher
Wiley
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12853
Reference36 articles.
1. Alagar V. Alsaig A. Ormandjiva O. &Wan K.(2018).Context‐based security and privacy for healthcare IoT. In 2018 IEEE International Conference on Smart Internet of Things (SmartIoT) (pp. 122–128). IEEE.
2. MULEPRO: a multi-channel response to jamming attacks in wireless sensor networks
3. An N. &Weber S.(2018 June).Efficiency and detectability of random reactive jamming in wireless networks. In 2018 15th Annual IEEE International Conference on Sensing Communication and Networking (SECON) (pp. 1–9). IEEE.
4. A Review on the Role of Machine Learning in Enabling IoT Based Healthcare Applications
5. Chatfield B. Haddad R. J. &Chen L.(2018 March).Low‐computational complexity intrusion detection system for jamming attacks in smart grids. In 2018 International Conference on Computing Networking and Communications (ICNC) (pp. 367–371). IEEE.
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