Intrusion Detection System for Internet of Medical Things-Reference-Cited by-同舟云学术

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Intrusion Detection System for Internet of Medical Things

Published:2023 Issue: Volume: Page:293-303
ISSN:2367-3370
Container-title:Advances in IoT and Security with Computational Intelligence
language:
Short-container-title:

Author:

Kulshrestha Priyesh,Vijay Kumar T. V.,Khari Manju

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-5088-1_25

Reference31 articles.

1. Ud Din I, Almogren A, Guizani M, Zuair MA (2019) Decade of Internet of Things: analysis in the light of healthcare applications. IEEE Access 7:89967–89979

2. Eskandari M, Janjua ZH, Vecchio M, Antonelli F (2020) Passban IDS: an intelligent anomaly-based intrusion detection system for IoT edge devices. IEEE Internet Things J 7:6882–6897

3. Ciklabakkal E, Donmez A, Erdemir M, Suren E, Yilmaz MK, Angin P (2019) ARTEMIS: an intrusion detection system for MQTT attacks in internet of things. In: Proceedings of the IEEE symposium on reliable distributed system. pp 369–371

4. Zoppi T, Ceccarelli A, Bondavalli A (2021) Unsupervised algorithms to detect zero-day attacks: strategy and application. IEEE Access 9:90603–90615

5. IBM (2022) IBM security X-force threat intelligence index. IBM Corporation, pp 42–42. https://www.ibm.com/downloads/cas/ADLMYLAZ

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning based intrusion detection system for IoMT;International Journal of System Assurance Engineering and Management;2023-09-07

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