A heuristic intrusion detection system for Internet-of-Things (IoT)

AH Qureshi, H Larijani, J Ahmad, N Mtetwa - … Computing: Proceedings of …, 2019 - Springer
Today, digitally connected devices are involved in every aspect of life due to the
advancements in Internet-of-Things (IoT) paradigm. Recently, it has been a driving force for …

A two-tier hybrid ensemble learning pipeline for intrusion detection systems in IoT networks

D Srivastav, P Srivastava - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
With an increasing number of network devices, the need for a robust intrusion detection
system is also increasing for ensuring ubiquitous and secure Internet of Things (IoT) network …

Intrusion detection using network traffic profiling and machine learning for IoT

JR Rose, M Swann, G Bendiab… - 2021 IEEE 7th …, 2021 - ieeexplore.ieee.org
The rapid increase in the use of IoT devices brings many benefits to the digital society,
ranging from improved efficiency to higher productivity. However, the limited resources and …

Towards machine learning based IoT intrusion detection service

TA Mohamed, T Otsuka, T Ito - Recent Trends and Future Technology in …, 2018 - Springer
IoT Security is one of the most critical issues when developing, implementing and deploying
IoT platforms. IoT refers to the ability of communication, monitoring and remote control of …

A novel intrusion detection method based on lightweight neural network for internet of things

R Zhao, G Gui, Z Xue, J Yin, T Ohtsuki… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

[HTML][HTML] A novel deep supervised learning-based approach for intrusion detection in IoT systems

S Baniasadi, O Rostami, D Martín, M Kaveh - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) has become one of the most important concepts in various
aspects of our modern life in recent years. However, the most critical challenge for the world …

Investigation of machine learning techniques in intrusion detection system for IoT network

SSS Sugi, SR Ratna - 2020 3rd international conference on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) combines the internet and physical objects to transfer information
among the objects. In the emerging IoT networks, providing security is the major issue. IoT …

[HTML][HTML] A novel adaptive network intrusion detection system for internet of things

P Aravamudhan - Plos one, 2023 - journals.plos.org
Cyber-attack is one of the most challenging aspects of information technology. After the
emergence of the Internet of Things, which is a vast network of sensors, technology started …

[HTML][HTML] IoT Intrusion Detection System Based on Machine Learning

B Xu, L Sun, X Mao, R Ding, C Liu - Electronics, 2023 - mdpi.com
With the rapid development of the Internet of Things (IoT), the number of IoT devices is
increasing dramatically, making it increasingly important to identify intrusions on these …

[HTML][HTML] EIDM: deep learning model for IoT intrusion detection systems

O Elnakib, E Shaaban, M Mahmoud… - The Journal of …, 2023 - Springer
Abstract Internet of Things (IoT) is a disruptive technology for the future decades. Due to its
pervasive growth, it is susceptible to cyber-attacks, and hence the significance of Intrusion …