Forecasting the IoT‐based cyber threats using the hybrid forage dependent ensemble classifier

AV Turukmane - Concurrency and Computation: Practice and …, 2023 - Wiley Online Library
Summary The Internet of Things is considered to be an emerging trend since it facilitates
more effective communication among smart devices. The IoT technology acts as a double …

A novel intrusion detection approach using machine learning ensemble for IoT environments

P Verma, A Dumka, R Singh, A Ashok, A Gehlot… - Applied Sciences, 2021 - mdpi.com
The Internet of Things (IoT) has gained significant importance due to its applicability in
diverse environments. Another reason for the influence of the IoT is its use of a flexible and …

Enhanced Black Widow Optimization with Hybrid Deep Learning Enabled Intrusion Detection in Internet of Things-based Smart Farming

RY Aburasain - IEEE Access, 2024 - ieeexplore.ieee.org
Agriculture has played a significant role in the lifespan of human beings for their survival and
the better economic growth of the country. Due to its intensified growth, smart agriculture has …

Innovative IoT Threat Detection: Weighted Variational Autoencoder-Based Hunter Prey Search Algorithm for Strengthening Cybersecurity

S Alshmrany - IETE Journal of Research, 2024 - Taylor & Francis
Cybersecurity threat detection in the Internet of Things (IoT) identifies and mitigates risks
associated with connected devices. The IoT devices are vulnerable to attacks as they do not …

BoostedEnML: Efficient technique for detecting cyberattacks in IoT systems using boosted ensemble machine learning

OD Okey, SS Maidin, P Adasme, R Lopes Rosa… - Sensors, 2022 - mdpi.com
Following the recent advances in wireless communication leading to increased Internet of
Things (IoT) systems, many security threats are currently ravaging IoT systems, causing …

Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems

A Sagu, NS Gill, P Gulia, I Priyadarshini… - … Transactions on Big …, 2024 - ieeexplore.ieee.org
The Internet of Things (IoT) is being prominently used in smart cities and a wide range of
applications in society. The benefits of IoT are evident, but cyber terrorism and security …

Enhancing Cybersecurity in the Internet of Things Environment Using Artificial Orca Algorithm and Ensemble Learning Model

R Allafi, IR Alzahrani - IEEE Access, 2024 - ieeexplore.ieee.org
Cybersecurity in the Internet of Things (IoT) is the practice of implementing measures to
secure networks and connected devices from data breaches, cyber threats, and …

Towards a hybrid machine learning model for intelligent cyber threat identification in smart city environments

N Al-Taleb, NA Saqib - Applied Sciences, 2022 - mdpi.com
The concept of a smart city requires the integration of information and communication
technologies and devices over a network for the better provision of services to citizens. As a …

IoTTPS: Ensemble RKSVM Model-Based Internet of Things Threat Protection System

U Akram, W Sharif, M Shahroz, MF Mushtaq, DG Aray… - Sensors, 2023 - mdpi.com
An Internet of Things (IoT) network is prone to many ways of threatening individuals. IoT
sensors are lightweight, lack complicated security protocols, and face threats to privacy and …

Lnkdsea: Machine learning based iot/iiot attack detection method

M Koppula, LJ LM - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The Internet of Things (IoT) brings together more devices that can communicate with one
another while requiring little user input. IoT is one of the computer disciplines that is …