An efficient intrusion detection framework for mitigating blackhole and sinkhole attacks in healthcare wireless sensor networks-Reference-Cited by-同舟云学术

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An efficient intrusion detection framework for mitigating blackhole and sinkhole attacks in healthcare wireless sensor networks

Published:2023-11 Issue: Volume:111 Page:108964
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Webber Julian L.^ORCID,Arafa Ahmed,Mehbodniya Abolfazl,Karupusamy Sathishkumar,Shah Bhoomi,Dahiya Anil Kumar,Kanani Pratik

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference25 articles.

1. A new random walk for replica detection in WSNs;Aalsalem;PLoS One,2016

2. Futuristic method to detect and prevent blackhole attack in wireless sensor networks;Aljumah;Int J Comput Sci Netw Secur (IJCSNS),2017

3. IoT in healthcare: ecosystem, pillars, design challenges, applications, vulnerabilities, privacy, and security concerns;Tharini,2020

4. Deterministic detection of cloning attacks for anonymous RFID systems;Bu;IEEE Trans Ind Inf,2015

5. Clone wars: distributed detection of clone attacks in mobile WSNs;Conti;J Comput Syst Sci,2014

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. MP-GUARD: A novel multi-pronged intrusion detection and mitigation framework for scalable SD-IoT networks using cooperative monitoring, ensemble learning, and new P4-extracted feature set;Computers and Electrical Engineering;2024-08

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