Toward Secured IoT-Based Smart Systems Using Machine Learning-Reference-Cited by-同舟云学术

Toward Secured IoT-Based Smart Systems Using Machine Learning

Published:2023 Issue: Volume:11 Page:20827-20841
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Abdalzaher Mohamed S.¹^ORCID,Fouda Mostafa M.²^ORCID,Elsayed Hussein A.³,Salim Mahmoud M.⁴^ORCID

Affiliation:

1. Seismology Department, Egyptian National Seismic Network (ENSN) Laboratory, National Research Institute of Astronomy and Geophysics (NRIAG), Helwan, Cairo, Egypt

2. Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, USA

3. Electronics and Communications Engineering Department, Ain Shams University, Cairo, Egypt

4. Engineering Department, October 6 University, Giza, Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10056119.pdf?arnumber=10056119

Reference112 articles.

1. Data Privacy Preservation and Security in Smart Metering Systems

2. An effective Stackelberg game for high-assurance of data trustworthiness in WSNs

3. B-18–40 a simplified Stackelberg game approach for securing data trustworthiness in wireless sensor networks;abdalzaher;Proc IEICE Gen Conf,2016

4. Machine Learning Benchmarking for Secured IoT Smart Systems

5. Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

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