Deep neural network–based security model for iot device network
The swift proliferation of Internet of Things (IoT) devices into smart cities with control systems
and critical infrastructure are examined as significant constituents in the designing of smart …
and critical infrastructure are examined as significant constituents in the designing of smart …
A good defense is a strong DNN: defending the IoT with deep neural networks
L Holbrook, M Alamaniotis - Machine Learning Paradigms: Advances in …, 2020 - Springer
This chapter frames in the realm of Internet of Things (IoT) and provides a new deep
learning solution for securing networks connecting IoT devices. In particular, it discusses a …
learning solution for securing networks connecting IoT devices. In particular, it discusses a …
Embedding machine & deep learning for mitigating security & privacy issues in iot enabled devices & networks
Abstract The future Internet of Things (IoT) will have a deep economical, commercial and
social impact on our lives. The participating nodes in IoT networks are usually resource …
social impact on our lives. The participating nodes in IoT networks are usually resource …
Machine learning for enhancement of security in internet of things based applications
Internet of Things (IoT) is a new paradigm in which billions of smart devices can
communicate with each other and exchange information with zero to minimal human …
communicate with each other and exchange information with zero to minimal human …
Unsupervised ensemble based deep learning approach for attack detection in IoT network
M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
Industrial internet-of-things security enhanced with deep learning approaches for smart cities
N Magaia, R Fonseca, K Muhammad… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The significant evolution of the Internet of Things (IoT) enabled the development of
numerous devices able to improve many aspects in various fields in the industry for smart …
numerous devices able to improve many aspects in various fields in the industry for smart …
Deep learning models for cyber security in IoT networks: A review
The IoT systems and connectivity provide improved experience and improve the quality of
service for the users in different perspectives. Recent development of the technological …
service for the users in different perspectives. Recent development of the technological …
Recognition of Attacks on IoT Devices and Their Prevention Using Deep Learning Methods
The Internet of Things (IoT) has caused a revolution in many different industries by making it
possible for connected smart devices to communicate with one another effortlessly …
possible for connected smart devices to communicate with one another effortlessly …
IoT Based Smart Cities Application For Detecting Cyber-Attacks Using Machine Learning
A Munir, A Aslam - International Journal of Advanced Sciences and …, 2023 - ijasc.com
In recent years, the increased adoption of Internet of Things (IoT) apps has led to the
emergence of smart cities. Smart cities are designed to improve the value of public services …
emergence of smart cities. Smart cities are designed to improve the value of public services …
Crucial attacks in internet of things via artificial intelligence techniques: The security survey
S Thavamani, D Mahesh, U Sinthuja… - AIP Conference …, 2022 - pubs.aip.org
The Internet of Things (IoT) is made up of a set of connected devices, which associated with
numerous sensors, actuators, and systems but not limited to sensor networks, Radio …
numerous sensors, actuators, and systems but not limited to sensor networks, Radio …