
With the rapid development of Internet, safe covert communications in the network environment become an essential research direction. Steganography is a si gnificant means that secret information is embedded into cover data imperceptibly for transmission, so that information cannot be easily aware by others. Text Steganography is low in redundancy and related to natural language rules these lead to limit manipulation of text, so they are both great challenges to conceal message in text properly and to detect such conceal ment. This study proposes a novel text steganography method which takes into account the Font Types. This ne w method depends on the Similarity of English Font Types; we called it (SEFT) technique. It works by rep lace font by more similar fonts. The secret message was encoded and embedded as similar fonts in capital Letters of cover document. Proposed text steganogra phy method can works in different cover documents of different font types. The size of cover and stego d ocument was increased about 0.766% from original size. The capacity of this method is very high and the se cret message was inconspicuous to an adversary.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
