Detection and prevention of man-in-the-middle attack in iot network using regression modeling

N Sivasankari, S Kamalakkannan - Advances in Engineering software, 2022 - Elsevier
Security is the primary concern in any IoT application or network. Due to the rapid increase
in the usage of IoT devices, data privacy becomes one of the most challenging issue to the …

[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 …

Machine learning based solutions for security of Internet of Things (IoT): A survey

SM Tahsien, H Karimipour, P Spachos - Journal of Network and Computer …, 2020 - Elsevier
Over the last decade, IoT platforms have been developed into a global giant that grabs every
aspect of our daily lives by advancing human life with its unaccountable smart services …

IoT-based smart environment using intelligent intrusion detection system

G Kalnoor, S Gowrishankar - Soft Computing, 2021 - Springer
One of the most basic characteristic features of every smart device in a network based on the
Internet of Things (IoT) is to gather a larger set of data that has been created and then …

Cyber threat intelligence for IoT using machine learning

S Mishra, A Albarakati, SK Sharma - Processes, 2022 - mdpi.com
The Internet of Things (IoT) is a technological revolution that enables human-to-human and
machine-to-machine communication for virtual data exchange. The IoT allows us to identify …

An analysis of IoT cyber security driven by machine learning

S Strecker, W Van Haaften, R Dave - Proceedings of International …, 2021 - Springer
Since the beginning of the Internet of Things (IoT), the number of IoT devices connected to
the Internet has grown rapidly. However, many IoT devices lack the security standards that …

An intrusion detection and classification system for IoT traffic with improved data engineering

AA Alsulami, Q Abu Al-Haija, A Tayeb, A Alqahtani - Applied Sciences, 2022 - mdpi.com
Nowadays, the Internet of Things (IoT) devices and applications have rapidly expanded
worldwide due to their benefits in improving the business environment, industrial …

[HTML][HTML] A machine learning-based intrusion detection for detecting internet of things network attacks

YK Saheed, AI Abiodun, S Misra, MK Holone… - Alexandria Engineering …, 2022 - Elsevier
Abstract The Internet of Things (IoT) refers to the collection of all those devices that could
connect to the Internet to collect and share data. The introduction of varied devices …

Internet of things cyber attacks detection using machine learning

J Alsamiri, K Alsubhi - International Journal of Advanced …, 2019 - search.proquest.com
Abstract The Internet of Things (IoT) combines hundreds of millions of devices which are
capable of interaction with each other with minimum user interaction. IoT is one of the fastest …

[PDF][PDF] Attack and anomaly detection in IoT networks using supervised machine learning approaches.

H Tyagi, R Kumar - Revue d'Intelligence Artificielle, 2021 - researchgate.net
Accepted: 9 February 2021 IoT is characterized by communication between things (devices)
that constantly share data, analyze, and make decisions while connected to the internet …