Lightweight real-time WiFi-based intrusion detection system using LightGBM

AA Bhutta, M Nisa, AN Mian - Wireless Networks, 2024 - Springer
Attacks on WiFi networks can cause network failures and denial of service for authentic
users. To identify such attacks, the deployment of a WiFi Intrusion Detection System (IDS) is …

A new intrusion detection system based on SVM–GWO algorithms for Internet of Things

H Ghasemi, S Babaie - Wireless Networks, 2024 - Springer
Abstract Internet of Things (IoT) as an emerging technology is widely used in various
applications such as remote healthcare, smart environment, and intelligent transportation …

Securing the evolving IoT with deep learning: a comprehensive review

U Tariq, I Ahmed, AK Bashir, MA Khan - Kurdish Studies, 2024 - e-space.mmu.ac.uk
This paper explores how deep learning enhances Internet of Things (IoT) cybersecurity,
examining advanced methods like convolutional and recurrent neural networks for detailed …

Deep Learning-Based Methodology for Tracking Cybersecurity in Networked Computers

D Dhabliya, NRS Jebaraj, SK Sinha, A Uchil… - Risk Assessment and …, 2024 - igi-global.com
Effective surveillance of cybersecurity is essential for safeguarding the security of computer
networks. Nevertheless, due to the increasing scope, complexity, and amount of data …

[PDF][PDF] IoT-Traffic Networks Effective Features Based on NSGA-II

SJ Mohammed, MS Mohammed, NM Nasir - jisis.org
Applying approaches such as crowding distance between samples that belong to the
Non/Dominated Sorting version of the Genetic Algorithm type II can gradually improve the …

Research on the Application of Distributed Intrusion Detection System in Campus Network

W Yongkang, Z Meixia - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
The application of Distributed Intrusion Detection System (DIDS) in campus network is a
security technology which aims at monitoring and analyzing network attacks. With the …