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 …
detects intrusion behaviors through active defense technology and takes emergency …
A deep learning-based intrusion detection approach for mobile Ad-hoc network
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 …
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 …
promoted the Mobile Internet of Things (MIoT) paradigm. However, the unique …
Intrusion detection based on ensemble learning for big data classification
The escalating frequency and sophistication of cyber threats pose significant challenges to
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …
traditional intrusion detection methods. Signature-based misuse detection, hybrid detection …
Watchdog malicious node detection and isolation using deep learning for secured communication in MANET
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 …
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
Mobile ad hoc networks (MANETs) are considered as decentralized networks, which can
communicate without pre-existing infrastructure. Owning to utilization of open medium …
communicate without pre-existing infrastructure. Owning to utilization of open medium …
A Deep Learning based Intrusion Detection Approach for MANET
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) …
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 …
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 …
(MANET) and proposes a new method for detecting and preventing attacks using machine …
Ensemble learning based big data classification for intrusion detection
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 …
it suers from multiple security problems. Therefore, the Intrusion Detection System appears …