Deep-learning approach to attack handling of IoT devices using IoT-enabled network services-Reference-Cited by-同舟云学术

Deep-learning approach to attack handling of IoT devices using IoT-enabled network services

Published:2020-09 Issue: Volume:11 Page:100241
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Yoon John

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Science Applications,Hardware and Architecture,Engineering (miscellaneous),Information Systems,Computer Science (miscellaneous),Software

Reference30 articles.

1. Keynote: internet of things or treats? On building trust in IoT;Miettinen,2018

2. A. Karl, Internet of everything vs. internet of things, http://techgenix.com/internet-of-everything/ (accessed on January 25, 2019).

3. Understanding packet loss for sound monitoring in a smart stadium of IoT testbed;Little,2017

4. Passive-ZigBee: enabling zigbee communication in IoT networks with 1000x+ less power consumption;Li,2018

5. Detecting forwarding misbehavior in clustered IoT networks;Abhishek,2018

Cited by 15 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. Blockchain-enabled heterogeneous 6G supported secure vehicular management system over cloud edge computing;Internet of Things;2024-04

2. Developing an IoT Adoption Framework for Library Management for Public Tertiary Institutions in Ghana;Advances in Library and Information Science;2024-01-26

3. A Hybrid Framework Leveraging Whale Optimization and Deep Learning With Trust-Index for Attack Identification in IoT Networks;IEEE Access;2024

4. Artificial Intelligence of Things (AIoT) Solutions for Sustainable Agriculture and Food Security;Lecture Notes on Data Engineering and Communications Technologies;2024

5. IoT malware: An attribute-based taxonomy, detection mechanisms and challenges;Peer-to-Peer Networking and Applications;2023-05