A Novel Distributed Stack Ensembled Meta-Learning-Based Optimized Classification Framework for Real-time Prolific IoT Traffic Streams
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06472-z.pdf
Reference54 articles.
1. Ahrenholz, J.: Comparison of CORE network emulation platforms. In: 2010-MILCOM 2010 Military Communications Conference, pp. 166–171. IEEE (2010). https://doi.org/10.1109/MILCOM.2010.5680218
2. Aksoy, A., Gunes, M.H.: Automated IoT Device Identification using Network Traffic. IEEE International Conference on Communications 2019-May (2019). https://doi.org/10.1109/ICC.2019.8761559
3. Alippi, C., Ozawa, S.: Computational Intelligence in the Time of Cyber-Physical Systems and the Internet of Things. In: Artificial Intelligence in the Age of Neural Networks and Brain Computing, pp. 245–263. Elsevier (2019). https://doi.org/10.1016/B978-0-12-815480-9.00012-8
4. Ammar, N., Noirie, L., Tixeuil, S.: Autonomous Identification of IoT Device Types based on a Supervised Classification. IEEE International Conference on Communications 2020-June (2020). https://doi.org/10.1109/ICC40277.2020.9148821
5. Apache Software Foundation: Apache Kafka. (Accessed on 2021-05-28) (2017). https://kafka.apache.org/
Cited by 11 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. Distributed Ensemble Method Using Deep Learning to Detect DDoS Attacks in IoT Networks;Arabian Journal for Science and Engineering;2024-05-29
2. Kafka‐Shield: Kafka Streams‐based distributed detection scheme for IoT traffic‐based DDoS attacks;SECURITY AND PRIVACY;2024-05-21
3. Foggier skies, clearer clouds: A real-time IoT-DDoS attack mitigation framework in fog-assisted software-defined cyber-physical systems;Computers & Security;2024-04
4. SDDA-IoT: storm-based distributed detection approach for IoT network traffic-based DDoS attacks;Cluster Computing;2024-02-29
5. Profiling and Classification of IoT Devices for Smart Home Environments;Intelligent Systems Reference Library;2024
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