[引用][C] A Cooperative Attack Detection Framework for MANET-IoT Network Using Optimized Gradient Boosting Convolutional Neural Network
P Sathyaraj, S Rukmani Devi… - Journal of Circuits, Systems …, 2023 - World Scientific
The implementation of large-scale Internet of Things (IoT) devices results in smart cities.
Using standard mobile ad-hoc networks and IoT, developers establish the communication …
Using standard mobile ad-hoc networks and IoT, developers establish the communication …
Unsupervised ensemble based deep learning approach for attack detection in IoT network
M Shahnawaz Ahmad… - … : Practice and Experience, 2022 - Wiley Online Library
Summary The Internet of Things (IoT) has altered living by controlling devices/things over
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
the Internet. IoT has specified many smart solutions for daily problems, transforming cyber …
A detection framework against CPMA attack based on trust evaluation and machine learning in IoT network
Internet of Things (IoT) network is vulnerable to various cyberattacks, especially insider
attacks. Most existing studies mainly detect nontargeted insider attackers, who manipulate …
attacks. Most existing studies mainly detect nontargeted insider attackers, who manipulate …
Enhancing trustworthiness among iot network nodes with ensemble deep learning-based cyber attack detection
S Malathi, SR Begum - Expert Systems with Applications, 2024 - Elsevier
A lot of machine learning methods and expert systems are used in network intrusion
detection automation. When different industrial control systems merge with the Internet of …
detection automation. When different industrial control systems merge with the Internet of …
ELD: Adaptive detection of malicious nodes under mix-energy-depleting-attacks using edge learning in IoT networks
Due to the distributed framework, Internet of Things (IoT) is vulnerable to insider attacks like
energy-depleting attack, where an attacker can behave maliciously to consume the battery …
energy-depleting attack, where an attacker can behave maliciously to consume the battery …
Detection of multiple-mix-attack malicious nodes using perceptron-based trust in IoT networks
Abstract The Internet of Things (IoT) has experienced a rapid growth in the last few years
allowing different Internet-enabled devices to interact with each other in various …
allowing different Internet-enabled devices to interact with each other in various …
Attack Detection Scheme based on Blackmailing nodes using Adaptive Tunicate Swarm Algorithm in MANET-IoT Environment
R Varaprasad, CN Mohan, B Rajesh… - … and Smart Systems …, 2023 - ieeexplore.ieee.org
When combined with the IoT, the capabilities of a MANET greatly enhance data acquisition,
processing, and sensing. Although many current efforts leverage MANET-IoT and achieve …
processing, and sensing. Although many current efforts leverage MANET-IoT and achieve …
Approach for detecting attacks on IoT networks based on ensemble feature selection and deep learning models
The Internet of Things (IoT) has transformed our interaction with technology and introduced
security challenges. The growing number of IoT attacks poses a significant threat to …
security challenges. The growing number of IoT attacks poses a significant threat to …
HybridRobustNet: enhancing detection of hybrid attacks in IoT networks through advanced learning approach
The proliferation of Internet of Things (IoT) devices has revolutionized various domains, but it
has also brought forth numerous security challenges. One of the most concerning threats is …
has also brought forth numerous security challenges. One of the most concerning threats is …
An optimized deep learning-based trust mechanism In VANET for selfish node detection
N Jyothi, R Patil - International Journal of Pervasive Computing and …, 2021 - emerald.com
Purpose This study aims to develop a trust mechanism in a Vehicular ad hoc Network
(VANET) based on an optimized deep learning for selfish node detection …
(VANET) based on an optimized deep learning for selfish node detection …
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