Physical layer detection of malicious relays in LTE-A network using unsupervised learning
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 …
focus on improving the performance with relays, security issues are often neglected. Due to …
A GLRT-based mechanism for detecting relay misbehavior in clustered IoT networks
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 …
provides an opportunity for an adversary to compromise a set of nodes by simply …
Malicious relay node detection with unsupervised learning in amplify-forward cooperative networks
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 …
unsupervised learning based on the received signal samples over the source to destination …
SECURITY MEASUREMENT IN LTE/LTE-A NETWORK BASED ON zS-LR FEATURE SELECTION TECHNIQUE AND UM-tGAN ATTACK DETECTION TECHNIQUE
D Sagar, M Saidireddy - Expert Systems with Applications, 2023 - Elsevier
Regarding raised data speeds, minimized access latency, robust resilience to multipath
fading, enhanced spectral efficacy, and seamless integration, the LTE network performs …
fading, enhanced spectral efficacy, and seamless integration, the LTE network performs …
Multi-Agent Distributed Deep Learning Algorithm to Detect Cyber-Attacks in Distance Relays
M Rajaee, K Mazlumi - IEEE Access, 2023 - ieeexplore.ieee.org
Distance relays are critical components in protection systems of power grids that can be
attacked by cyber-attackers. Indeed, a cyber-attacker injects fake data into a distance relay …
attacked by cyber-attackers. Indeed, a cyber-attacker injects fake data into a distance relay …
Intelligent physical layer secure relay selection for wireless cooperative networks with multiple eavesdroppers
The modern and emerging wireless communication technologies are benefiting from
relaying techniques, which is already adopted in long term evolution (LTE) Release 10. The …
relaying techniques, which is already adopted in long term evolution (LTE) Release 10. The …
Cooperative relay based on machine learning for enhancing physical layer security
Physical layer security is a crucial technology to achieve secure information transmission.
However, emerging technologies, such as machine learning, impose significant challenges …
However, emerging technologies, such as machine learning, impose significant challenges …
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 …
[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 …
Versatile unsupervised anomaly detection method for RTE-based networks
Reliability and dependability are critical demands of the fourth industrial revolution that Real-
time Ethernet (RTE) networks have to meet. The use of anomaly detection and prevention …
time Ethernet (RTE) networks have to meet. The use of anomaly detection and prevention …
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