# A New Way to Store Simple Text Files
## 4 Conclusions  
The article describes a method for storing text data in the file stored on the server or in the cloud, which allows simultaneously performing the compression and steganography operations of its content. Described method copes well with most text file formats (including _txt_, _json_, _tex_, _html_,  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**File** & **Encoding** & **Time** & **A** & **B** & **C** \\ \hline \multirow{4}{*}{data1.txt} & \multirow{2}{*}{ASCII} & avg & 0.1840 & 0.4015 & 0.2518 \\  & & std & 0.0025 & 0.0052 & 0.0118 \\  & & avg & 0.0718 & 0.1547 & 0.1104 \\  & & std & 0.0013 & 0.0059 & 0.0068 \\  & & avg & - & - & - \\ \multirow{4}{*}{data2.txt} & \multirow{2}{*}{ASCII} & std & - & - & - \\  & & avg & 0.0955 & 0.2026 & 0.1375 \\  & & std & 0.0016 & 0.0058 & 0.0047 \\  & & avg & 2.4929 & 5.2552 & 3.5691 \\ \multirow{4}{*}{data3.txt} & \multirow{2}{*}{ASCII} & std & 0.0076 & 0.0373 & 0.9982 \\  & & avg & 0.4629 & 0.9612 & 0.6622 \\  & & std & 0.0076 & 0.0127 & 0.0381 \\ \multirow{4}{*}{data4.json} & \multirow{2}{*}{ASCII} & avg & 0.0058 & 0.0127 & 0.0085 \\  & & std & 0.0012 & 0.0002 & 0.0021 \\  & & avg & 0.0058 & 0.0115 & 0.0078 \\ \multirow{4}{*}{python.py} & \multirow{2}{*}{ASCII} & avg & 0.0039 & 0.0084 & 0.0059 \\  & & std & 0.0009 & 0.0011 & 0.0015 \\ \multirow{4}{*}{latex.tex} & \multirow{2}{*}{UTF-8} & avg & 0.0044 & 0.0075 & 0.0055 \\  & & std & 0.0001 & 0.00147 & 0.0008 \\ \multirow{4}{*}{latex.tex} & \multirow{2}{*}{ASCII} & avg & 0.0240 & 0.0507 & 0.0319 \\  & & std & 0.0011 & 0.0008 & 0.0026 \\ \multirow{4}{*}{latex.tex} & \multirow{2}{*}{UTF-8} & avg & 0.0165 & 0.0332 & 0.0230 \\  & & std & 0.0007 & 0.0008 & 0.0019 \\ \hline \hline \end{tabular}
\end{table}
Table 4: The results show the transition times from the image \(png\) to the text file. The list of columns includes filename, the time needed to create the text file, PC A, PC B, and PC C. The script has been run 100 times. Avg and std are respectively: mean time and standard deviation.  
_css_). Files stored with _doc_ extension can proceed without formatting. Its limitation is the method of coding the original text--extended ASCII or UTF-8 coding is required. In the first case, the output file is compressed, and image content looks like it is randomly generated. In contrast, UTF-8 encoding allows the processing of a much broader range of text files, and in most cases (as demonstrated by the results obtained), it provides compression of the output file, which content looks like randomly generated. The method has been implemented in Python programming language, and the source code has been placed in the Github publicly accessible repository. The method can be used in the area of Big Data, where we deal with a large number of files (usually with text filetype), which content can be compressed (in case of extended ASCII encoding) as well as protected against a simple attempt to read their content. It should be emphasized that the proposed steganographic method extends the classic approach based on a graphic file as a medium in which bits of plain text are introduced at a bit-level of individual RGB components. The article fills a gap in the area of theory and has documented application potential, which will be the subject of further research.  
conceptualization, M.L.; methodology, M.L., A.P. and A.K.; software, M.L. and A.P.; formal analysis, M.L., and A.P.; writing--original draft preparation, M.L. and A.K.; writing--review and editing, M.L. and A.K. All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.