Hybrid of anomaly-based and specification-based IDS for Internet of Things using unsupervised OPF based on MapReduce approach

H Bostani, M Sheikhan - Computer Communications, 2017 - Elsevier
Abstract Internet of Things (IoT) is a novel paradigm in computer networks in which resource-
constrained objects connect to unreliable Internet by using a wide range of technologies …

Toward a lightweight intrusion detection system for the internet of things

SU Jan, S Ahmed, V Shakhov, I Koo - IEEE access, 2019 - ieeexplore.ieee.org
Integration of the Internet into the entities of the different domains of human society (such as
smart homes, health care, smart grids, manufacturing processes, product supply chains, and …

A smart anomaly-based intrusion detection system for the Internet of Things (IoT) network using GWO–PSO–RF model

PK Keserwani, MC Govil, ES Pilli, P Govil - Journal of Reliable Intelligent …, 2021 - Springer
Abstract The Internet of Things (IoT) is adding the advancement in the technology for
creating smart environments to facilitate humans for various works. The technological …

A taxonomy of machine-learning-based intrusion detection systems for the internet of things: A survey

A Jamalipour, S Murali - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) is an emerging technology that has earned a lot of research
attention and technical revolution in recent years. Significantly, IoT connects and integrates …

A cascaded federated deep learning based framework for detecting wormhole attacks in IoT networks

R Alghamdi, M Bellaiche - Computers & Security, 2023 - Elsevier
The growth of the internet over the years has resulted in massive use and spread of the
Internet of Things (IoT) in many areas. From home networks to industrial IoT, from medicine …

A real-time intrusion detection system for wormhole attack in the RPL based Internet of Things

S Deshmukh-Bhosale, SS Sonavane - Procedia Manufacturing, 2019 - Elsevier
Today there is a trend of the Internet of Things (IoT) where many objects are connected to
the internet. In future number of objects connected to the internet will be more as compared …

ML-IDS: A machine learning approach to detect wormhole attacks in Internet of Things

P Shukla - 2017 intelligent systems conference (IntelliSys), 2017 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging business model aimed to connect many low-power
embedded devices with internet. IoT has many applications in building smart cities, smart …

Intrusion detection systems in the Internet of things: A comprehensive investigation

S Hajiheidari, K Wakil, M Badri, NJ Navimipour - Computer Networks, 2019 - Elsevier
Recently, a new dimension of intelligent objects has been provided by reducing the power
consumption of electrical appliances. Daily physical objects have been upgraded by …

[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 …

Ai-based two-stage intrusion detection for software defined iot networks

J Li, Z Zhao, R Li, H Zhang - IEEE internet of Things Journal, 2018 - ieeexplore.ieee.org
Software defined Internet of Things (SD-IoT) networks profit from centralized management
and interactive resource sharing, which enhances the efficiency and scalability of Internet of …