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Blowfish algorithm (BA) is a symmetric block cipher with a 64-bit block size and variable key lengths from 32 bits up to a maximum of 448 bits. In order to measure the degree of security of blowfish algorithm, some cryptographic tests must be applied such as randomness test, avalanche criteria and correlation coefficient. In this paper we attempt to analyze the security of blowfish using avalanche criteria and correlation coefficient. We analyzed the randomness of the Blowfish output in an earlier paper titled "Randomness Analysis on Blowfish Block Cipher using ECB and CBC Modes". The results obtained from the analysis of correlation coefficient showed that Blowfish algorithm gives a good non-linear relation between plaintext and ciphertext while the results of avalanche effect indicate that the algorithm presents good avalanche effect from the second round. C++ is used in the implementation of the blowfish algorithm; MATLAB programming (Mathworks, R., 2012a) is used in the implementation of avalanche effect and correlation coefficient.

With the go on the evolution of both computer and internet technology, videos, sounds, and scripts are used more and more often. It can be used in sundry techniques in ciphering and data concealing. The objective of this paper is leading to the suggestion of a new method of the combination between encryption and concealment of information so as to make it difficult to identify the transmitted data via networks. This study has used two force secure (2FS) to encrypt the images, in other words, the SF is frequent twice on the image, to obtain powerful encryption then the concealing of the secret message is done inside the cryptography of the image has been performed using a secret key (cosine curve), and this stegoencryption image has been transformed for the Internet of things storage in the database in IoT (data flow), when the user needs any information can be access in via of internet of things (IoTs). The outcome of the proposed system is obtained to be evaluated through different measures, such as peak signal noise ratio (PSNR), mean square error (MSE), entropy, correlation coefficient, and histogram. The proposed system is good, efficient, fast, has high security, robustness, and transparency.

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