Intrusion detection system using metaheuristic fireworks optimization based feature selection with deep learning on Internet of Things environment

T Jayasankar, R Kiruba Buri… - Journal of …, 2024 - Wiley Online Library
Abstract Internet of Things (IoT), cloud computing, and other significant advancements in
communication have created new security challenges. Due to these advancements and the …

[PDF][PDF] Hybrid Metaheuristics Feature Selection with Stacked Deep Learning-Enabled Cyber-Attack Detection Model.

MM Asiri, HG Mohamed, MK Nour… - Comput. Syst. Sci …, 2023 - cdn.techscience.cn
Due to exponential increase in smart resource limited devices and high speed
communication technologies, Internet of Things (IoT) have received significant attention in …

A novel metaheuristics with deep learning enabled intrusion detection system for secured smart environment

AA Malibari, SS Alotaibi, R Alshahrani, S Dhahbi… - Sustainable Energy …, 2022 - Elsevier
With the deep integration of Internet and ubiquitous computing, smart environment becomes
familiar in several real time applications such as smart city, smart building, healthcare …

Modeling of deep learning based intrusion detection system in internet of things environment

M Hammoudeh, SM Aljaberi - Full Length Article, 2021 - americaspg.com
Abstract The Internet of Things (IoT) has become a hot popular topic for building a smart
environment. At the same time, security and privacy are treated as significant problems in …

Automated cyberattack detection using optimal ensemble deep learning model

T Vaiyapuri, K Shankar, S Rajendran… - Transactions on …, 2024 - Wiley Online Library
In recent times, the Industrial Internet of Things (IIoT) has developed significantly. In the
application of automation, and intelligence, industrial digitalization introduced cyber risks …

Design of metaheuristic optimization algorithms for deep learning model for secure IoT environment

A Sagu, NS Gill, P Gulia, PK Singh, WC Hong - Sustainability, 2023 - mdpi.com
Because of the rise in the number of cyberattacks, the devices that make up the Internet of
Things (IoT) environment are experiencing increased levels of security risks. In recent years …

Red fox optimizer based feature selection with optimal deep learning based Intrusion detection for network security

S Sunkara, T Suresh, V Sathiyasuntharam - International Journal of …, 2023 - Springer
In recent times, increasing severity and complication of security assaults on computer
networks are simulated security researchers to incorporate various machine learning …

Smart Cyber Intrusion Detection System Using Hyperparameter Tuned Deep Learning with Feature Subset Selection Model

MR Hadi, AR Hassan, IH Mohammed… - … Technology and its …, 2023 - ieeexplore.ieee.org
Since drastic increase in network connectivity and a considerable number of computer
oriented applications in recent times, the challenging issue of satisfying cybersecurity gets …

Oppositional poor and rich optimization with deep learning enabled secure internet of drone communication system

FN Al-Wesabi, F Alrowais, JS Alzahrani… - Computers and …, 2022 - Elsevier
As a result of technological advancements and the need for continuous reduction in
manufacturing costs, the concept of Internet of Things (IoT), consisting of Unmanned Aerial …

An effective feature selection model using hybrid metaheuristic algorithms for iot intrusion detection

SS Kareem, RR Mostafa, FA Hashim, HM El-Bakry - Sensors, 2022 - mdpi.com
The increasing use of Internet of Things (IoT) applications in various aspects of our lives has
created a huge amount of data. IoT applications often require the presence of many …