In recent years, many researchers focus on the coverless information hiding because it realizes secret communication without modiﬁcation by retrieving carriers including secret information (SI). However, the design of a coverless information hiding algorithm is very difﬁcult, which mainly involves three aspects: (1) How to promote the efﬁciency of retrieving under the big data environment? (2) How to extract the SI in the received natural texts? (3) How to improve the hiding capacity (HC)? This paper proposes a novel text coverless information hiding algorithm based on the compound and selection of words, in which the reverse index is created to promote the efﬁciency of retrieving ﬁrstly. Then, Chinese characters are converted into binary numbers, which will serve as the location tags to determine the position of SI in the texts. Finally, combine the frequently used words and improve the HC according to the frequencies. The experimental results show that the proposed algorithm has a signiﬁcant improvement in HC compared to the existing text coverless information hiding algorithms. In addition, the efﬁciency and security of the proposed algorithm are also proved. Keywords Coverless information hiding · Location tags · Compounds · Hiding capacity 1 Introduction to the embedding principles, the
Soft Computing – Springer Journals
Published: Jun 5, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
All the latest content is available, no embargo periods.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud