Iotprotect: A machine-learning based iot intrusion detection system

MM Alani - 2022 6th International Conference on Cryptography …, 2022 - ieeexplore.ieee.org
The rapid growth in IoT adoption in various daily-life applications, combined with the lack of
proper patching and securing, has made IoT an easy target for malicious actors. As we …

Enhancing IoT security through deep learning-based intrusion detection

A Jyotsna, EA Mary Anita - International Conference on Computer and …, 2023 - Springer
Abstract The Internet of Things (IoT) has revolutionized the way we interact with technology
by connecting everyday devices to the internet. However, this increased connectivity also …

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 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 …

DeepIIoT: An explainable deep learning based intrusion detection system for industrial IOT

MM Alani, E Damiani, U Ghosh - 2022 IEEE 42nd International …, 2022 - ieeexplore.ieee.org
IoT adoption is becoming widespread in different areas of applications in our daily lives. The
increased reliance on IoT devices has made them a worthy target for attackers. With …

A Comprehensive Analysis of Machine Learning-Based Intrusion Detection System for IoT-23 Dataset

YG Kim, KJ Ahmed, MJ Lee, K Tsukamoto - International Conference on …, 2022 - Springer
With the proliferation of IoT devices, securing the IoT-based network is of paramount
importance. IoT-based networks consist of diversely purposed IoT devices. This diversity of …

A comprehensive review of machine learning-based intrusion detection techniques for IoT networks

G Samara, M Aljaidi, R Alazaidah, MH Qasem… - … Intelligence, Internet of …, 2023 - Springer
The vast expansion of the Internet of Things (IoT) exposes it to the threat of massive financial
and reputational harm. The imperative to develop an emergency action plan and …

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 …

ML-IDS: an efficient ML-enabled intrusion detection system for securing IoT networks and applications

M Al-Ambusaidi, Z Yinjun, Y Muhammad, A Yahya - Soft Computing, 2024 - Springer
Abstract The Internet of Things (IoT) and machine learning (ML) have various applications in
different sectors of life, such as healthcare, agriculture, industries, transportation, smart …

A machine-learning-based Intrusion detection for IIoT infrastructure

S Aftab, ZS Shah, SA Memon… - 2023 7th International …, 2023 - ieeexplore.ieee.org
Industrial Internet of Things (IIoT) is rapidly expanding in the industrial sector, and it is critical
to ensure the security of IIoT systems against cyber threats. This paper proposes an intrusion …