A deep learning approach for securing IoT infrastructure with emphasis on smart vertical networks
M Kolhar, SM Aldossary - Designs, 2023 - mdpi.com
As a result of the Internet of Things (IoT), smart city infrastructure has been able to advance,
enhancing efficiency and enabling remote management. Despite this, this interconnectivity …
enhancing efficiency and enabling remote management. Despite this, this interconnectivity …
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 …
Towards an integrated methodology and toolchain for machine learning-based intrusion detection in Urban IoT networks and platforms
The constant increase in volume and wide variety of available Internet of Things (IoT)
devices leads to highly diverse software and hardware stacks, which opens new avenues for …
devices leads to highly diverse software and hardware stacks, which opens new avenues for …
Boost‐Defence for resilient IoT networks: A head‐to‐toe approach
Abstract The Internet of Things (IoT) is an emerging technology that is considered a key
enabler for next‐generation smart cities, industries, security services and economies. IoT …
enabler for next‐generation smart cities, industries, security services and economies. IoT …
Anomaly Detection of IoT Cyberattacks in Smart Cities Using Federated Learning and Split Learning
I Priyadarshini - Big Data and Cognitive Computing, 2024 - mdpi.com
The swift proliferation of the Internet of Things (IoT) devices in smart city infrastructures has
created an urgent demand for robust cybersecurity measures. These devices are …
created an urgent demand for robust cybersecurity measures. These devices are …
“why should i trust your ids?”: An explainable deep learning framework for intrusion detection systems in internet of things networks
Z Abou El Houda, B Brik… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging paradigm that is turning and revolutionizing
worldwide cities into smart cities. However, this emergence is accompanied with several …
worldwide cities into smart cities. However, this emergence is accompanied with several …
A machine learning solution for securing the internet of things infrastructures
A Abdel-Monem… - Sustainable Machine …, 2022 - sciencesforce.com
Securing Internet of Things (IoT) infrastructures against ever-evolving cyber threats remains
a critical challenge in the era of interconnected devices. In this paper, we present a novel …
a critical challenge in the era of interconnected devices. In this paper, we present a novel …
On securing IoT from deep learning perspective
The extensive growth of the Internet of Things (IoT) has impacted diverse applications,
including smart homes and cities, Intelligent Transport Systems (ITS) and smart factories. IoT …
including smart homes and cities, Intelligent Transport Systems (ITS) and smart factories. IoT …
DL‐IDS: a deep learning–based intrusion detection framework for securing IoT
Abstract The Internet of Things (IoT) is comprised of numerous devices connected through
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
wired or wireless networks, including sensors and actuators. Recently, the number of IoT …
Deep Learning Models for Cybersecurity in IoT Networks
M Naji, H Zougagh - International Conference on Business Intelligence, 2023 - Springer
The idea of the Internet of Things (IoT) was developed to im-prove people's lives by
providing diversity range of intercon-nected smart devices and applications in several areas …
providing diversity range of intercon-nected smart devices and applications in several areas …