Voting Classifier-Based Intrusion Detection for IoT Networks
Author:
Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-5559-3_26
Reference33 articles.
1. Islam, M.M., Rahaman, A., Islam, M.R.: Development of smart healthcare monitoring system in IoT environment. SN Comput. Sci. 1, 1–11 (2020)
2. Mois, G., Folea, S., Sanislav, T.: Analysis of three IoT-based wireless sensors for environmental monitoring. IEEE Trans. Instrum. Meas. 66(8), 2056–2064 (2017)
3. Salam, A., Shah, S.: Urban underground infrastructure monitoring IoT: the path loss analysis. In: 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), pp. 398–401. IEEE (2019)
4. Hajjaji, Y., Boulila, W., Farah, I.R., Romdhani, I., Hussain, A.: Big data and IoT-based applications in smart environments: a systematic review. Comput. Sci. Rev. 39, 100318 (2021)
5. Al-Ali, A.-R., Zualkernan, I.A., Rashid, M., Gupta, R., Alikarar, M.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2017)
Cited by 46 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 prediction of length of stay (LoS) in the neonatal intensive care unit using ensemble methods;Neural Computing and Applications;2024-05-07
2. Trapped human victims Machine Learning detection Model Using Recursive Feature Elimination with SVM Classification Algorithm;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
3. Comparison of Random Forest, K-Nearest Neighbor, and Support Vector Machine Classifiers for Intrusion Detection System;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02
4. Malicious detection model with artificial neural network in IoT-based smart farming security;Cluster Computing;2024-03-22
5. DTL-IDS: An optimized Intrusion Detection Framework using Deep Transfer Learning and Genetic Algorithm;Journal of Network and Computer Applications;2024-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3