Survey on Unified Threat Management (UTM) Systems for Home Networks

A Siddiqui, BP Rimal, M Reisslein… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Home networks increasingly support important networked applications with limited
professional network administration support, while sophisticated attacks pose enormous …

Intrusion detection system based on machine learning algorithms: A review

SV Amanoul, AM Abdulazeez - 2022 IEEE 18th International …, 2022 - ieeexplore.ieee.org
Due to the widespread use of the internet, computer networks are vulnerable to cyber-
attacks, prompting various researchers to suggest intrusion detection systems (IDSs) …

Lkd-stnn: A lightweight malicious traffic detection method for internet of things based on knowledge distillation

S Zhu, X Xu, J Zhao, F Xiao - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The purpose of malicious traffic detection and identification in the Internet of Things (IoT) is
to detect the intrusion of malicious traffic within the IoT network into IoT devices. Detection …

[HTML][HTML] A review on recent approaches of machine learning, deep learning, and explainable artificial intelligence in intrusion detection systems

SB Mallampati, S Hari - Majlesi Journal of Electrical Engineering, 2023 - journals.iau.ir
In recent decades, network security has become increasingly crucial, and intrusion detection
systems play a critical role in securing it. An intrusion Detection System (IDS) is a …

Intrusion detection system using RBPSO and fuzzy neuro-genetic classification algorithms in wireless sensor networks

S Subramani, M Selvi - International Journal of Information …, 2023 - inderscienceonline.com
In the recent years, intrusion detection systems (IDSs) are used to detect malicious attacks in
WSNs. Most of the IDSs are developed using two phases namely, a feature selection phase …

Attack and Anomaly Detection in IIoT Networks Using Machine Learning Techniques

P Kumar, I Banerjee - 2023 14th International Conference on …, 2023 - ieeexplore.ieee.org
Sensor-driven edge devices, known as things, connect with control systems like intelligent
machines and analytic applications, making a network known as the Industrial Internet of …

Artificial Intelligence-Based Intrusion Detection and Prevention in Edge-Assisted SDWSN With Modified Honeycomb Structure

J Kipongo, TG Swart, E Esenogho - IEEE access, 2023 - ieeexplore.ieee.org
The software-defined wireless sensor network (SDWSN) has the potential to improve
flexibility, scalability, and network performance, but security and quality of service (QoS) are …

Trust And Energy-Aware Routing Protocol for Wireless Sensor Networks Based on Secure Routing

G Muneeswari, A Ahilan, R Rajeshwari… - International journal of …, 2023 - hrcak.srce.hr
Sažetak Wireless Sensor Network (WSN) is a network area that includes a large number of
nodes and the ability of wireless transmission. WSNs are frequently employed for vital …

Adaptive fuzzy-based node communication performance prediction with hybrid heuristic Cluster Head selection framework in WSN using enhanced K-means …

A Ayyappan, R Arunachalam… - Journal of Ambient …, 2024 - content.iospress.com
The “Wireless Sensor Networks (WSN)” has gained a lot of interest among research
scholars and has been utilized in various advanced applications in distinct fields. Along with …

Intrusion prediction algorithm based on modified wavelet neural network

J Hu, Y Zhang, C Zou, J Liu - 2021 4th International …, 2021 - ieeexplore.ieee.org
With the development of information technology, network services have gradually become
an important part of people's lives. Meanwhile, the network security issues are increasingly …