Performance Analysis of IDS_MDL Algorithm to Predict Intrusion Detection for IoT Applications

WA Mahmoud, M Fathi, H El-Badawy… - 2023 40th National …, 2023 - ieeexplore.ieee.org
In the last year, many modern attacks have targeted Internet of Things (IoT) devices. IoT
botnet attacks are the most common. Despite the plethora of detection and prevention …

Design and Implementation of Intrusion Detection Model with Machine Learning Techniques for IoT Security

M Mohy-Eddine, K Bella, A Guezzaz… - … Machine Learning for …, 2024 - taylorfrancis.com
The Internet of Things (IoT) is a vast network that aims to connect sensors and actuators. IoT
technology development has several security concerns. A significant amount of interest was …

Intrusion detection model for IoT using recurrent kernel convolutional neural network

CU Om Kumar, S Marappan, B Murugeshan… - Wireless Personal …, 2023 - Springer
In communication and information technology, the Internet of Things (IoT) creates an
enormous amount of data traffic that permits data analysis to expose and detect unusual …

Hybrid rule based classification of attacks in internet of things (iot) intrusion detection system

R Alexander, KPM Kumar - 2023 7th International Conference …, 2023 - ieeexplore.ieee.org
When dealing with any kind of network traffic, an intrusion detection system is the essential
element of security. This also applies to the Internet of Things (IoT) network, where the …

Design of a machine learning based intrusion detection framework and methodology for iot networks

R Manzano, N Goel, M Zaman… - 2022 IEEE 12th …, 2022 - ieeexplore.ieee.org
Traditional security solutions may not be always possible in IoT systems because of the
resource constraint in IoT devices. Intrusion detection in IoT systems using Machine …

A Survey: An Effective Utilization of Machine Learning Algorithms in IoT Based Intrusion Detection System

B Natarajan, S Bose, N Maheswaran… - 2023 12th …, 2023 - ieeexplore.ieee.org
With tremendous advancements in technologies, the life has become easier while on other
end, security issues pose a serious threat. Cyberattacks have increased by multiple folds …

[PDF][PDF] Evaluation on bot-IoT dataset enabled reducing false alarm rate for IoT threats

UA Isma'ila, KU Danyaro, MF Hassan, MS Liew… - Kepes, 2023 - researchgate.net
The growth of Internet of Things (IoT) devices has been increasing day by day. Its
widespread adoption is significantly simplifying our daily tasks. However, the increasing …

A New High-Performance Feature Selection Method for Machine Learning-Based IOT Intrusion Detection

B Natarajan, S Bose, N Maheswaran… - 2023 12th …, 2023 - ieeexplore.ieee.org
In recent years, there is a significant growth experienced in both data traffic as well as
dimensionality in Internet of Things (IoT) environment. In parallel, IoT networks are often …

Machine learning based intrusion detection systems for IoT applications

A Verma, V Ranga - Wireless Personal Communications, 2020 - Springer
Abstract Internet of Things (IoT) and its applications are the most popular research areas at
present. The characteristics of IoT on one side make it easily applicable to real-life …

[PDF][PDF] Efficient intrusion detection system for IoT environment

RH Mohamed, FA Mosa, RA Sadek - International Journal of …, 2022 - researchgate.net
These days, the Internet is subjected to a variety of attacks that can harm network devices or
allow attackers to steal the most sensitive data from these devices. IoT environment provides …