Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a develo** technology that provides the simplicity and benefits of
exchanging data with other devices using the cloud or wireless networks. However, the …
exchanging data with other devices using the cloud or wireless networks. However, the …
A systematic survey of data mining and big data analysis in internet of things
Y Zhong, L Chen, C Dan, A Rezaeipanah - The Journal of …, 2022 - Springer
Abstract The Internet of Things (IoT) is an emerging paradigm that offers remarkable
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
opportunities for data mining and analysis. IoT envisions a world where all smartphones …
Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
Given a scale expansion of Internet of Things for sustainable resource management in smart
cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future …
cities, proper design of an intrusion detection system (IDS) is critical to safeguard the future …
Review of artificial intelligence for enhancing intrusion detection in the internet of things
Internet of Things is sha** the quality of living standard. With the rapid growth and
expansion of adopting IoT-based approaches, their security represents a growing challenge …
expansion of adopting IoT-based approaches, their security represents a growing challenge …
Taxonomy and challenges in machine learning-based approaches to detect attacks in the internet of things
The insecure growth of Internet-of-Things (IoT) can threaten its promising benefits to our
daily life activities. Weak designs, low computational capabilities, and faulty protocol …
daily life activities. Weak designs, low computational capabilities, and faulty protocol …
Detection resource allocation scheme for two-layer cooperative IDSs in smart grids
Although some existing collaborative intrusion detection schemes can increase the
detection performance by dynamically allocating detection resources in smart grids, these …
detection performance by dynamically allocating detection resources in smart grids, these …
Using deep learning technique to protect internet network from intrusion in IoT environment
IoT is growing more common with each passing day, and it is making things smarter by
allowing them to share data via the internet. IoT is quickly making the world intelligent by …
allowing them to share data via the internet. IoT is quickly making the world intelligent by …
MADS based on DL techniques on the Internet of Things (IoT): Survey
Technologically speaking, humanity lives in an age of evolution, prosperity, and great
development, as a new generation of the Internet has emerged; it is the Internet of Things …
development, as a new generation of the Internet has emerged; it is the Internet of Things …
Intrusion detection systems trends to counteract growing cyber-attacks on cyber-physical systems
J Ali - 2021 22nd International Arab Conference on …, 2021 - ieeexplore.ieee.org
Cyber-Physical Systems (CPS) suffer from extendable vulnerabilities due to the
convergence of the physical world with the cyber world, which makes it victim to a number of …
convergence of the physical world with the cyber world, which makes it victim to a number of …
Design Secure Cloud Based IoT Network for End to End Cloud Communication
Devices in IoT are resource constrained devices. This is the basic reason that makes IoT
network prone to vulnerabilities. When compared with previous different types of networks …
network prone to vulnerabilities. When compared with previous different types of networks …