Covert communication model based on dynamic time binary trees

Abstract

A covert communication model based on a dynamic time binary tree was proposed to address the efficiency and security issues in blockchain-based covert communication. A time binary tree was dynamically generated at specific moments, and the roothash was used to extract random factors for assigning different path codes to the tree nodes. Communication information characters were mapped to the encoded paths and index fields. By embedding vacant bits of the path codes at specific moments and integrating them into blockchain transactions, covert transmission was achieved. The receiver reconstructed the time binary tree at the specific moment to complete the decoding. Experimental results show that, compared to similar models, the proposed model improves communication efficiency while ensuring security, and avoids the security risks brought by the pre-negotiation process.

Keywords

• blockchain
• dynamic time binary tree
• path encoding
• covert communication