
Information is wealth of any organization and in present era in which information transferred through digital media and internet, it became a top priority for any organizations to protect this wealth. Whatever technique we adopt for the security purpose, the degree and level of security always remains top concern. Steganography is one such technique in which presence of secret message cannot be detected and we can use it as a tool for security purpose to transmit the cofidential information in a secure way. It is an ongoing research area having vast number of applications in distinct fields such as defense and intelligence, medical, on-line banking, on-line transaction, to stop music piracy and other financial and commercial purposes. There are various steganography approaches exist and they differs depending upon message to be embedded, use of file type as carrier or compression method used etc. The focus of this paper is to classify distinct image steganography techniques besides giving overview, importance and challenges of steganography techniques. Other related security techniques are also been discussed in brief in this paper. The classification of steganography techniques may provide not only understanding and guidelines to researchers in this field but also provide directions for future work in this field.
| 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). | 41 | |
| 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. | Top 10% |
