Lightweight real-time WiFi-based intrusion detection system using LightGBM
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 …
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 …
applications such as remote healthcare, smart environment, and intelligent transportation …
Enhanced Expectation-maximization algorithm for smart traffic IoT systems using deep generative adversarial networks to reduce waiting time
B Yamini, M Jayaprakash, S Logesswari… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The main focus of the work is to improve the smart traffic systems for the Internet of Things
(IoT) such as traditional signals and safe driving via tracking the congestion and monitoring …
(IoT) such as traditional signals and safe driving via tracking the congestion and monitoring …
Securing the evolving IoT with deep learning: a comprehensive review
This paper explores how deep learning enhances Internet of Things (IoT) cybersecurity,
examining advanced methods like convolutional and recurrent neural networks for detailed …
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 …
networks. Nevertheless, due to the increasing scope, complexity, and amount of data …
Devising Network Intrusion Detection System for Smart City with an Ensemble of Optimization and Deep Learning Techniques
R Chinnasamy, M Subramanian… - … on Modeling & E …, 2023 - ieeexplore.ieee.org
In recent years, there is a great advancement in information and communication
technologies such as radical improvement in processor units, memory and communication …
technologies such as radical improvement in processor units, memory and communication …
[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 …
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 …
security technology which aims at monitoring and analyzing network attacks. With the …
Fs-Tgan: An Enhanced Approach for Internet of Things (Iot) Intrusion Detection System Based on Feature Selection and Tabular Generative Adversarial Network
Abstract The Internet of Things (IoT) refers to a system of interconnected physical objects
that are capable of gathering and sharing data. The need for enhancing IoT security …
that are capable of gathering and sharing data. The need for enhancing IoT security …