Comparative research on network intrusion detection methods based on machine learning

C Zhang, D Jia, L Wang, W Wang, F Liu, A Yang - Computers & Security, 2022 - Elsevier
Network intrusion detection system is an essential part of network security research. It
detects intrusion behaviors through active defense technology and takes emergency …

A deep learning-based intrusion detection approach for mobile Ad-hoc network

R Meddeb, F Jemili, B Triki, O Korbaa - Soft Computing, 2023 - Springer
The goal of the paper is to present a Stacked autoencoder approach for enhancing Intrusion
Detection Systems (IDSs) in Mobile Ad-Hoc Networks (MANETs). The paper proposes a …

Machine learning solutions for mobile internet of things security: A literature review and research agenda

H Messabih, CA Kerrache… - Transactions on …, 2024 - Wiley Online Library
In recent years, the advancements in wireless technologies and sensor networks have
promoted the Mobile Internet of Things (MIoT) paradigm. However, the unique …

Intrusion detection based on ensemble learning for big data classification

F Jemili, R Meddeb, O Korbaa - Cluster Computing, 2024 - Springer
The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …

Watchdog malicious node detection and isolation using deep learning for secured communication in MANET

AS Narmadha, S Maheswari, SN Deepa - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak Mobile Ad-hoc Networks (MANETs) are wireless networks formed dynamically by
connecting or leaving nodes to and from the network without any fixed infrastructure. These …

Wormhole attack detection techniques in ad-hoc network: A systematic review

C Gupta, L Singh, R Tiwari - Open Computer Science, 2022 - degruyter.com
Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can
communicate without pre-existing infrastructure. Owning to utilization of open medium …

A Deep Learning based Intrusion Detection Approach for MANET

R Meddeb, F Jemili, B Triki, O Korbaa - 2022 - researchsquare.com
Abstract Defining efficient Intrusion Detection Systems (IDSs) have gained a lot of attractions
due to the massive increase in different sorts of attacks in Mobile Ad-Hoc Network (MANET) …

[PDF][PDF] Исследование влияния атак на структурные и параметрические метрики сетей с адаптивной топологией

ЕЮ Павленко - Вопросы кибербезопасности, 2023 - cyberrus.info
Методы исследований: системный анализ существующих структурных метрик для
оценки состояния компьютерных сетей, теоретическая формализация, проведение …

Machine Learning for Intrusion Detection in Ad-hoc Networks: Wormhole and Blackhole Attacks Case

AT Kouanou, TF Fonzin, FM Zanga… - Cloud Computing and …, 2024 - ojs.wiserpub.com
This paper addresses the security concerns associated with Mobile Ad-hoc Networks
(MANET) and proposes a new method for detecting and preventing attacks using machine …

Ensemble learning based big data classification for intrusion detection

KY Kamel, F Jemili, R Meddeb - International Conference on Intelligent …, 2022 - Springer
The growth of technology has made life much easier with its speed, but we cannot deny that
it suers from multiple security problems. Therefore, the Intrusion Detection System appears …