Since the earliest times, people have used the encryption and hiding data to achieve a safe and reliable transfer of important data. This paper propesed a new method for encrypting important data based on the circular shapes information that extracted from the cover image, The encryption process is done using an update of a well known traditional method with simple calculations taking advantage of the coordinates of the center of the main circle as keys extracted from the cover image to reduce the number of keys exchanged between the sender and the recipient and to increase the level of security and confidentiality. The hiding process of the encrypted data is done in pixels that located in the circular areas of the cover image and in three forms of concealment, which providing second encryption, choosing the hiding form depending on the appearing sequence of the character in the text, which makes decode the secure data will be so difficult, the experiments showed that the proposed method was achieved excellent encryption and hiding depending on the coefficients Peak Signal to Noise Ratio analyses (PNSR), Mean Square Error (MSE), and other measurements. The proposed method achieves a complete data recovery ratio where it was Bit Error Rate BER=0.

The present paper builds a security system to encrypt and hide important text data. The system utilized an AES method to conduct an encryption process, followed by hiding the encrypted data using an improved Pixel Value Difference (PVD) technique. The method works to builds a map to hide data in a non-sequential way by relying on a hyperchaotic system to increase the security level. The system methodology proposed that the data embedding process is in one of the three levels of the colour image (Red, Green, and Blue), where the embedding level will determined based on the coordinates of the PVD pair points that is increase the efficiency of performance. A set of measures was used to measure the quality of steganography where we used MSE, PSNR, SNR, and Corr, and the results are well and satisfactory. The proposed method records the least MSE value with 0.85348784908256, while the Corr values did not decrease about 0.994145776227782. The proposed method also proved successful and effective in retrieving and decoding data, where the BER scale was equal to zero for all retrieved text.