Malicious relay node detection with unsupervised learning in amplify-forward cooperative networks

Y Yengi, A Kavak, H Arslan, K Küçük… - … on Innovation and …, 2019 - ieeexplore.ieee.org
This paper presents malicious relay node detection in a cooperative network using
unsupervised learning based on the received signal samples over the source to destination …

Good vibrations: artificial ambience-based relay attack detection

I Gurulian, K Markantonakis, E Frank… - 2018 17th IEEE …, 2018 - ieeexplore.ieee.org
Relay attacks are passive man in the middle attacks, aiming to extend the physical distance
of devices involved in a transaction beyond their operating environment, within the restricted …

Malicious Relay Detection for Tor Network Using Hybrid Multi-Scale CNN-LSTM with Attention

Q Feng, Y Xia, W Yao, T Lu… - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
With the widespread use of the Tor network, attackers who control malicious relays pose a
serious threat to user privacy. Therefore, identifying malicious relays is crucial for ensuring …

Physical layer detection of malicious relays in LTE-A network using unsupervised learning

Y Yengi, A Kavak, H Arslan - IEEE Access, 2020 - ieeexplore.ieee.org
For Long Term Evolution Advanced (LTE-A) network, although there exist many studies that
focus on improving the performance with relays, security issues are often neglected. Due to …

Modified ZRP to identify cooperative attacks

S Sharma, A Jain, N Gupta - 2016 Second International …, 2016 - ieeexplore.ieee.org
Mobile Adhoc Networks (MANET) are infra structure-less network made up of many mobile
nodes and these nodes communicate through a wireless and infrastructure less medium …

Enabling relay selection in cooperative networks by supervised machine learning

H Dang, Y Liang, L Wei, C Li… - 2018 Eighth International …, 2018 - ieeexplore.ieee.org
In fifth generation (5G) networks, cooperative transmission assisted by relays is believed to
be an essential element, which significantly improves the system reliability and enhances …

A detection framework against CPMA attack based on trust evaluation and machine learning in IoT network

L Liu, X Xu, Y Liu, Z Ma, J Peng - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) network is vulnerable to various cyberattacks, especially insider
attacks. Most existing studies mainly detect nontargeted insider attackers, who manipulate …

[HTML][HTML] RLFAT: A Transformer-Based Relay Link Forged Attack Detection Mechanism in SDN

T Zhang, Y Wang - Electronics, 2023 - mdpi.com
SDN is a modern internet architecture that has transformed the traditional internet structure
in recent years. By segregating the control and data planes of the network, SDN facilitates …

A GLRT-based mechanism for detecting relay misbehavior in clustered IoT networks

NV Abhishek, A Tandon, TJ Lim… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Clustering Internet of Things (IoT) networks, to alleviate the network scalability problem,
provides an opportunity for an adversary to compromise a set of nodes by simply …

A GAN-Based False Data Injection and Civil Attack Detection Framework for Digital Relays with Feature Selection

A Aflaki, H Karimipour… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
As one of the highly used components in the power system, digital relays are employed to
use the phasor measurement units', voltage, and current signals, to decide whether a fault …