Numerous seismic datasets are routinely acquired, stored and transferred via different systems and networks. Significant reduction of data sizes with encryption would significantly reduce storage media and transmission costs and security. This study presents a novel approach for compressing and encrypting numerical data in descriptive bitmap images. The method depends on the Steim method for bit-packing and the 128-bit numerical system for encryption and bitmap manipulations for compression. The method produced encrypted data capsules in a WebP image file. For seismic data, it is found that the size of the WebP image comprises ~20% of the corresponding binary size with a bit-rate of ~5.6 b/s which is smaller than that of the Steim form, 27% and 8.9 b/s, respectively. The size of the redundant data is reduced to ~0.1% with a bit rate ~ 0.04 b/s. Regarding the compression speed, it is found that the code compresses data with a rate of ~11,118 samples/s or ~ 44 Kbytes/s in average. For the first time, this study provides an unconventional use of an image file to hold a big amount of 128-bit encrypted data in a compressible form. It is proven that the data in the WebP format, regardless of being encrypted, occupies the least amount of storage space among other image formats, that can be easily handled, stored, and shared through clouds and devices safely with a lower cost.

通常通过不同的系统和网络来获取，存储和传输大量地震数据集。通过加密显着减少数据大小将大大降低存储介质，传输成本和安全性。这项研究提出了一种新颖的方法来压缩和加密描述性位图图像中的数字数据。该方法取决于用于位打包的Steim方法和用于加密的128位数字系统以及用于压缩的位图处理。该方法在WebP图像文件中生成了加密的数据包。对于地震数据，发现WebP图像的大小约占相应二进制大小的20％，比特率约为5.6 b / s，小于Steim形式的比特率（分别为27％和8.9 b / s）。分别。冗余数据的大小以〜0.04 b / s的比特率减小到〜0.1％。关于压缩速度，发现该代码以平均〜11,118个样本/ s或〜44 KB / s的速率压缩数据。这项研究首次提供了一种非常规方式使用图像文件来以可压缩形式保存大量128位加密数据的信息。事实证明，与其他图像格式相比，WebP格式的数据（无论是否经过加密）占用的存储空间最少，可以通过云和设备以较低的成本安全地轻松处理，存储和共享这些图像格式。