A method of hiding information by using invisible characters based on unicode encoding

Abstract

The invention provides a method for hiding information by using invisible characters based on Unicode codes. The method mainly comprises a message embedding algorithm and a message extraction algorithm. Secrete information is hidden by the characteristics of the Unicode codes of the invisible characters, so that the embedding capacity of the secrete information is improved on the premise of guaranteeing the security. By the method, the secrete information can be hidden on a text carrier which adopts the Unicode codes and contains the invisible characters such as spaces; the security of the information can be guaranteed by flexibly changing the embedding form of the secrete information according to an encoding table, and the embedding capacity of the secrete information can be effectively improved.

Description

A Method of Hiding Information Using Invisible Characters Based on Unicode Encoding technical field The invention relates to a method for hiding information by using invisible characters based on Unicode encoding, and belongs to the technical field of information hiding. Background technique With the popularization of computer applications and the rapid development of the Internet, people have put forward higher requirements for network communication security. Different from information encryption technology, information hiding technology guarantees communication security by concealing the existence of the behavior of transmitting messages. At present, with the application of text documents more and more widely, using text documents to hide secret messages has become a research direction in the field of information security. In the field of computer science, Unicode encoding is a universal character set encoding standard, which is widely used in modern operating systems. ...

AI Technical Summary

Problems solved by technology

However, it does not support information hiding of Chinese text data carriers, and the information embedding capacity is relatively limited, which has great limitations in practical applications.

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