Anomaly-based intrusion detection system for IoT application

M Bhavsar, K Roy, J Kelly, O Olusola - Discover Internet of things, 2023 - Springer
Abstract Internet-of-Things (IoT) connects various physical objects through the Internet and it
has a wide application, such as in transportation, military, healthcare, agriculture, and many …

[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 …

[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 …

Deep learning for intrusion detection and security of Internet of things (IoT): current analysis, challenges, and possible solutions

AR Khan, M Kashif, RH Jhaveri, R Raut… - Security and …, 2022 - Wiley Online Library
In the last decade, huge growth is recorded globally in computer networks and Internet of
Things (IoT) networks due to the exponential data generation, approximately zettabyte to a …

Simulation and modeling for anomaly detection in IoT network using machine learning

I Mukherjee, NK Sahu, SK Sahana - International Journal of Wireless …, 2023 - Springer
Today we are living in an era where everything is changing to be smart, whether it be a
smart home, smart industries, smart irrigation, or a smart meter, where the word smart refers …

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 …

[PDF][PDF] A distributed intrusion detection system using machine learning for IoT based on ToN-IoT dataset

AR Gad, M Haggag, AA Nashat… - International Journal of …, 2022 - researchgate.net
The internet of things (IoT) is a collection of common physical things which can communicate
and synthesize data utilizing network infrastructure by connecting to the internet. IoT …

Design and development of a deep learning-based model for anomaly detection in IoT networks

I Ullah, QH Mahmoud - IEEE Access, 2021 - ieeexplore.ieee.org
The growing development of IoT (Internet of Things) devices creates a large attack surface
for cybercriminals to conduct potentially more destructive cyberattacks; as a result, the …

Intrusion detection using swarm intelligence

H Larijani, A Javed, N Mtetwa… - 2019 UK/China …, 2019 - ieeexplore.ieee.org
Recent advances in networking and communication technologies have enabled Internet-of-
Things (IoT) devices to communicate more frequently and faster. An IoT device typically …

Machine learning based anomaly detection for IoT network:(Anomaly detection in IoT network)

NK Sahu, I Mukherjee - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
As the world is leading towards having everything smart, like smart home, smart grid smart
irrigation, there is the major concern of attack and anomaly detection in the Internet of Things …