Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Deep neural network based anomaly detection in Internet of Things network traffic tracking for the applications of future smart cities

Published:2020-10 Issue: Volume: Page:
ISSN:2161-3915
Container-title:Transactions on Emerging Telecommunications Technologies
language:en
Short-container-title:Trans Emerging Tel Tech

Author:

Reddy Dukka KarunKumar¹,Behera Himansu Sekhar¹,Nayak Janmenjoy²,Vijayakumar Pandi³,Naik Bighnaraj⁴,Singh Pradeep Kumar⁵^ORCID

Affiliation:

1. Department of Information Technology Veer Surendra Sai University of Technology Burla India

2. Department of Computer Science and Engineering Aditya Institute of Technology and Management (AITAM) Tekkali India

3. Department of Computer Science & Engineering University College of Engineering Tindivanam Tindivanam India

4. Department of Computer Application Veer Surendra Sai University of Technology Burla India

5. ABES Engineering College Ghaziabad India

Publisher

Wiley

Subject

Electrical and Electronic Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ett.4121

Reference67 articles.

1. ShenG LiuB. The visions technologies applications and security issues of Internet of Things. Paper presented at: 2011 International Conference on E‐Business and E‐Government (ICEE). Shanghai China: IEEE;2011:1‐4.https://doi.org/10.1109/ICEBEG.2011.5881892.

2. Survey of security and privacy issues of Internet of Things;Borgohain T;Cryptogr Secur,2015

3. XiaohuiX. Study on security problems and key technologies of the Internet of Things. Paper presented at: 2013 International Conference on Computational and Information Sciences. Shiyang China: IEEE;2013:407‐410.https://doi.org/10.1109/ICCIS.2013.114.

4. ZhaoK GeL. A survey on the Internet of Things security. Paper presented at: 2013 Ninth International Conference on Computational Intelligence and Security. Leshan China: IEEE;2013:663‐667.https://doi.org/10.1109/CIS.2013.145.

Cited by 72 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 for Blockchain and IoT Systems in Smart Cities: A Survey;Future Internet;2024-09-06

2. Outlier Detection in Streaming Data for Telecommunications and Industrial Applications: A Survey;Electronics;2024-08-22

3. DBN-protected material Enhanced intrusion prevention sensor system defends against cyber attacks in the IoT devices;Measurement: Sensors;2024-08

4. Anomaly detection using deep learning approach for IoT smart city applications;Multimedia Tools and Applications;2024-07-06

5. Advancing Network Survivability and Reliability: Integrating XAI-Enhanced Autoencoders and LDA for Effective Detection of Unknown Attacks;2024 20th International Conference on the Design of Reliable Communication Networks (DRCN);2024-05-06

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