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 …
Multiscale monitoring using machine learning methods: New methodology and an industrial application to a photovoltaic system
In this study, a multiscale monitoring method for nonlinear processes was developed. We
introduced a machine learning tool for fault detection and isolation based on the kernel …
introduced a machine learning tool for fault detection and isolation based on the kernel …
Enhancing security and efficiency in Mobile Ad Hoc Networks using a hybrid deep learning model for flooding attack detection
Abstract Mobile Ad Hoc Networks (MANETs) are increasingly replacing conventional
communication systems due to their decentralized and dynamic nature. However, their …
communication systems due to their decentralized and dynamic nature. However, their …
A survey on security threats and network vulnerabilities in Internet of Things
HK Saini, M Poriye, N Goyal - Big Data Analytics in Intelligent IoT and …, 2023 - Springer
Abstract Internet of Things (IoT) is a group of physical objects like sensors and actuators etc.
connected through the network for dynamic exchange of information for augmenting the …
connected through the network for dynamic exchange of information for augmenting the …
Self-supervised video representation and temporally adaptive attention for audio-visual event localization
Y Ran, H Tang, B Li, G Wang - Applied Sciences, 2022 - mdpi.com
Localizing the audio-visual events in video requires a combined judgment of visual and
audio components. To integrate multimodal information, existing methods modeled the cross …
audio components. To integrate multimodal information, existing methods modeled the cross …
Review on machine learning based intrusion detection for manet security
W Bouassaba, A Nabou… - 2022 9th international …, 2022 - ieeexplore.ieee.org
Recently, the mobile ad hoc network (MANET) has enjoyed a great reputation thanks to its
advantages such as: high performance, no expensive infrastructure to install, use of …
advantages such as: high performance, no expensive infrastructure to install, use of …
Machine Learning Algorithms for Optimization and Intelligence in Wireless Networks: WSNs, MANETs, VANETs, and USNs
Wireless sensor networks (WSNs), mobile ad hoc networks (MANETs), vehicular ad hoc
networks (VANETs), and underwater sensor networks (USNs) are dynamic and resource …
networks (VANETs), and underwater sensor networks (USNs) are dynamic and resource …
Design of intrusion detection and prevention model using COOT optimization and hybrid LSTM-KNN classifier for MANET
G Madhu - EAI Endorsed Transactions on Scalable Information …, 2022 - eudl.eu
INTRODUCTION: MANET is an emerging technology that has gained traction in a variety of
applications due to its ability to analyze large amounts of data in a short period of time. Thus …
applications due to its ability to analyze large amounts of data in a short period of time. Thus …
Machine Learning for Intrusion Detection in Ad-hoc Networks: Wormhole and Blackhole Attacks Case
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 …
[PDF][PDF] Proposed Naïve Bayes-Genetic algorithm to detect black hole attacks in MANETs.
The threats and attacks on mobile ad hoc networks (MANETs) are significant, making it
difficult for traditional security systems to provide complete protection. Therefore, an efficient …
difficult for traditional security systems to provide complete protection. Therefore, an efficient …