@Article{csse.2023.034915,
AUTHOR = {Xiang Zhang, Xiaona Zhang, Xiaorui Zhang, Wei Sun, Ruohan Meng, Xingming Sun},
TITLE = {A Derivative Matrix-Based Covert Communication Method in Blockchain},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {46},
YEAR = {2023},
NUMBER = {1},
PAGES = {225--239},
URL = {http://www.techscience.com/csse/v46n1/51366},
ISSN = {},
ABSTRACT = {The data in the blockchain cannot be tampered with and the users are
anonymous, which enables the blockchain to be a natural carrier for covert communication. However, the existing methods of covert communication in blockchain suffer from the predefined channel structure, the capacity of a single
transaction is not high, and the fixed transaction behaviors will lower the concealment of the communication channel. Therefore, this paper proposes a derivation
matrix-based covert communication method in blockchain. It uses dual-key to
derive two types of blockchain addresses and then constructs an address matrix
by dividing addresses into multiple layers to make full use of the redundancy
of addresses. Subsequently, to solve the problem of the lack of concealment
caused by the fixed transaction behaviors, divide the rectangular matrix into
square blocks with overlapping regions and then encrypt different blocks sequentially to make the transaction behaviors of the channel addresses match better with
those of the real addresses. Further, the linear congruence algorithm is used to
generate random sequence, which provides a random order for blocks encryption,
and thus enhances the security of the encryption algorithm. Experimental results
show that this method can effectively reduce the abnormal transaction behaviors
of addresses while ensuring the channel transmission efficiency.},
DOI = {10.32604/csse.2023.034915}
}