Implementation of Extreme Learning Model for Cyber Security in IoT Networks-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Implementation of Extreme Learning Model for Cyber Security in IoT Networks

Published:2023-11-15 Issue: Volume: Page:374-379
ISSN:
Container-title:2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)
language:
Short-container-title:

Author:

Parvathi S.¹,Sushma T.²,K Anusree³,Raju Talari Venkata Syamala⁴,Anirudh Dasari Satya Nageswara⁵,Gokula Krishnan V.⁶

Affiliation:

1. V. R. Siddhartha Engineering College,Department of ECE,Vijayawada,India

2. Prasad V Potluri Siddhartha Institute of Technology,Department of ECE,Vijayawada,India

3. Sahrdaya College of Engineering and Technology,Department of CSE,Thrissur,India

4. S.R.K.R Engineering College,Department of ECE,Bhimavaram,India

5. University of Cincinnati,Department of Information Technology,Cincinnati,USA

6. Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS),Department of CSE,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10370002/10368600/10370596.pdf?arnumber=10370596

Reference16 articles.

1. Internet of things intrusion detection model and algorithm based on cloud computing and multi-feature extraction extreme learning machine

2. A novel optimized Bat Extreme Learning intrusion detection system for smart Internet of Things networks

3. Implementation of modified Cluster Based Routing Algorithm to Enhance QoS for Wireless Sensor Networks

4. Kalman and Cauchy clustering for anomaly detection based authentication of IoMTs using extreme learning machine

5. Implementation of Improved Energy Balanced Routing Protocol to Enlarge Energy Efficiency in MANET for IoT Applications

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. Maximizing intrusion detection efficiency for IoT networks using extreme learning machine;Discover Internet of Things;2024-07-09

同舟云学术

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