Cyberattacks detection in iot-based smart city applications using machine learning techniques
In recent years, the widespread deployment of the Internet of Things (IoT) applications has
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
contributed to the development of smart cities. A smart city utilizes IoT-enabled technologies …
BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …
Ad-iot: Anomaly detection of iot cyberattacks in smart city using machine learning
I Alrashdi, A Alqazzaz, E Aloufi… - 2019 IEEE 9th …, 2019 - ieeexplore.ieee.org
In recent years, the wide adoption of the modern Internet of Things (IoT) paradigm has led to
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
the invention of smart cities. Smart cities operate in real-world time to promote ease and …
lIDS-SIoEL: intrusion detection framework for IoT-based smart environments security using ensemble learning
Smart cities are being enabled all around the world by Internet of Things (IoT) applications.
A smart city idea necessitates the integration of information and communication …
A smart city idea necessitates the integration of information and communication …
[PDF][PDF] Attack and anomaly detection in iot networks using machine learning techniques: A review
SH Haji, SY Ameen - Asian J. Res. Comput. Sci, 2021 - researchgate.net
ABSTRACT The Internet of Things (IoT) is one of today's most rapidly growing technologies.
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
It is a technology that allows billions of smart devices or objects known as" Things" to collect …
Learning-based methods for cyber attacks detection in IoT systems: A survey on methods, analysis, and future prospects
Internet of Things (IoT) is a developing 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 machine learning security framework for iot systems
Internet of Things security is attracting a growing attention from both academic and industry
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …
communities. Indeed, IoT devices are prone to various security attacks varying from Denial …
Anomaly-based intrusion detection systems in iot using deep learning: A systematic literature review
The Internet of Things (IoT) concept has emerged to improve people's lives by providing a
wide range of smart and connected devices and applications in several domains, such as …
wide range of smart and connected devices and applications in several domains, such as …
Detecting cybersecurity attacks in internet of things using artificial intelligence methods: A systematic literature review
M Abdullahi, Y Baashar, H Alhussian, A Alwadain… - Electronics, 2022 - mdpi.com
In recent years, technology has advanced to the fourth industrial revolution (Industry 4.0),
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
where the Internet of things (IoTs), fog computing, computer security, and cyberattacks have …
A comprehensive study of anomaly detection schemes in IoT networks using machine learning algorithms
The Internet of Things (IoT) consists of a massive number of smart devices capable of data
collection, storage, processing, and communication. The adoption of the IoT has brought …
collection, storage, processing, and communication. The adoption of the IoT has brought …