Voiceprint: A Novel Sybil Attack Detection Method Based on RSSI for VANETs

2017 ◽  
Author(s):  
Yuan Yao ◽  
Bin Xiao ◽  
Gaofei Wu ◽  
Xue Liu ◽  
Zhiwen Yu ◽  
...  
Keyword(s):  
Detection Method ◽  
Attack Detection ◽  
Sybil Attack

scholarly journals A Self-Learning Detection Method of Sybil Attack Based on LSTM for Electric Vehicles

Energies ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1382 ◽  
Author(s):  
Yi-Ying Zhang ◽  
Jing Shang ◽  
Xi Chen ◽  
Kun Liang
Keyword(s):  
Communication Network ◽  
Electric Vehicles ◽  
Short Term Memory ◽  
Detection Method ◽  
Detection Efficiency ◽  
Attack Detection ◽  
Detection Methods ◽  
Sybil Attack ◽  
Time Dimension ◽  
Self Learning

Electric vehicles (EVs) are the development direction of new energy vehicles in the future. As an important part of the Internet of things (IOT) communication network, the charging pile is also facing severe challenges in information security. At present, most detection methods need a lot of prophetic data and too much human intervention, so they cannot do anything about unknown attacks. In this paper, a self-learning-based attack detection method is proposed, which makes training and prediction a closed-loop system according to a large number of false information packets broadcast to the communication network. Using long short-term memory (LSTM) neural network training to obtain the characteristics of traffic data changes in the time dimension, the unknown malicious behavior characteristics are self-extracted and self-learning, improving the detection efficiency and quality. In this paper, we take the Sybil attack in the car network as an example. The simulation results show that the proposed method can detect the Sybil early attack quickly and accurately.

scholarly journals A Novel Shilling Attack Detection Method

2014 ◽  
Vol 31 ◽  
pp. 165-174 ◽  
Author(s):  
Alper Bilge ◽  
Zeynep Ozdemir ◽  
Huseyin Polat
Keyword(s):  
Detection Method ◽  
Attack Detection ◽  
Shilling Attack ◽  
Shilling Attack Detection
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