• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Exploiting Correlation Characteristics to Detect Covert digital communication


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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Cite this article

[IEEE Style]
S. Huang, W. Liu, G. Liu, Y. Dai and W. Tian, "Exploiting Correlation Characteristics to Detect Covert digital communication," KSII Transactions on Internet and Information Systems, vol. 14, no. 8, pp. 3550-3566, 2020. DOI: 10.3837/tiis.2020.08.023.

[ACM Style]
Shuhua Huang, Weiwei Liu, Guangjie Liu, Yuewei Dai, and Wen Tian. 2020. Exploiting Correlation Characteristics to Detect Covert digital communication. KSII Transactions on Internet and Information Systems, 14, 8, (2020), 3550-3566. DOI: 10.3837/tiis.2020.08.023.