TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Exploiting Correlation Characteristics to Detect Covert digital communication |
| 영문제목(English Title) |
Exploiting Correlation Characteristics to Detect Covert digital communication |
| 저자(Author) |
Shuhua Huang
Weiwei Liu
Guangjie Liu
Yuewei Dai
Wen Tian
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| 원문수록처(Citation) |
VOL 14 NO. 08 PP. 3550 ~ 3566 (2020. 08) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
As a widely used way to exfiltrate information, wireless covert channel (WCC) brings a serious threat to communication security, which enables the wireless communication process to bypass the authorized access control mechanism to disclose information. Unlike the covert channel on the network layer, wireless covert channels on the physical layer (WCC-P) is a new covert communication mode to implement and improve covert wireless communication. Existing WCC-P scheme modulates the secret message bits into the Gaussian noise, which is also called covert digital communication system based on the joint normal distribution (CJND). Finding the existence of this type of covert channel remains a challenging work due to its high undetectability. In this paper, we exploit the square autocorrelation coefficient (SAC) characteristic of the CJND signal to distinguish the covert communication from legitimate communication. We study the sharp increase of the SAC value when the offset is equal to the symbol length, which is caused by embedding secret information. Then, the SAC value of the measured sample is compared with the threshold value to determine whether the measured sample is CJND sample. When the signal-to-noise ratio reaches 20db, the detection accuracy can reach more than 90%.
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| 키워드(Keyword) |
covert channel detection
wireless communications
Gaussian distribution correlation coefficient
autocorrelation
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| 파일첨부 |
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