An anomaly-based intrusion detection system for IoT networks using trust factor

KP Singh, N Kesswani - SN Computer Science, 2022 - Springer
In recent years, the Internet of Things has grown visibly and soon will be an essential part of
our daily lives. This increases the number of transactions in a network and with that risks to …

[PDF][PDF] A hybrid classification approach for intrusion detection in iot network

S Choudhary, N Kesswani - 2021 - core.ac.uk
With the increase in number of IoT devices, the capabilities to provide reliable security and
detect the malicious activities within the IoT network have become quite challenging. We …

A highly secured intrusion detection system for IoT using EXPSO-STFA feature selection for LAANN to detect attacks

M Jeyaselvi, RK Dhanaraj, M Sathya, FH Memon… - Cluster …, 2023 - Springer
Abstract The Internet of Things (IoT) is a modern age technology, designed with the vision to
connect and also interconnect all the objects everywhere. Technological progressions …

An advanced intrusion detection system for IIoT based on GA and tree based algorithms

SM Kasongo - IEEE Access, 2021 - ieeexplore.ieee.org
The evolution of the Internet and cloud-based technologies have empowered several
organizations with the capacity to implement large-scale Internet of Things (IoT)-based …

Intrusion detection system for SDN-enabled IoT networks using machine learning techniques

J Ashraf, N Moustafa, AD Bukhshi… - 2021 IEEE 25th …, 2021 - ieeexplore.ieee.org
With the rapid increase in smart devices and lowering prices of sensing devices, adoption of
the Internet of Things (IoT) is gaining impetus. These IoT devices come with a greater threat …

[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 …

A review on IoT intrusion detection systems using supervised machine learning: Techniques, datasets, and algorithms

AR Abdulla, NGM Jameel - UHD Journal of Science and …, 2023 - journals.uhd.edu.iq
Physical objects that may communicate with one another are referred to “things” throughout
the Internet of Things (IoT) concept. It introduces a variety of services and activities that are …

A two-stage intrusion detection approach for software-defined IoT networks

Q Tian, D Han, MY Hsieh, KC Li, A Castiglione - Soft Computing, 2021 - Springer
The concept of software-defined Internet of Things (SD-IoT) is becoming even more
widespread. SD-IoT enables us to realize programmable networks and business, simplifying …

Intrusion detection systems for the internet of thing: a survey study

HA Hassan, EE Hemdan, W El-Shafai… - Wireless Personal …, 2023 - Springer
In recent years, networking systems have witnessed a breakthrough. Due to the advances in
network and communication technology, new concepts such as the Internet of Things (IoT) …

A study on heuristic algorithms combined with lr on a dnn-based ids model to detect iot attacks

TTT Thuy, LD Thuan, NH Duc, HT Minh - Mendel, 2023 - ib-b2b.test.infv.eu
Current security challenges are made more difficult by the complexity and difficulty of
spotting cyberattacks due to the Internet of Things explosive growth in connected devices …