Secure image hiding in speech signal by steganography-mining and encryption

Abstract

<span>Information hiding techniques are constantly evolving due to the increased need for security and confidentiality. This paper proposes a working mechanism in three phases. The first phase includes scrambling the values of the gray image depending on a series of keys that are generated using a quantum chaotic map. The second phase generates hybrid keys by mixing a Zaslavsky and a 3D Hanon map that are used to encrypt the gray image values produced after the scramble. Finally, in the third phase, a new algorithm is suggested to hide the encrypted gray image at random locations within a speech file. This algorithm includes the LSB algorithm to determine the hidden bits and the zero-crossing K-means algorithm in selecting locations mining in a scattered manner so that hackers cannot easily retrieve the hidden data of any hacked person. Also used a fractional fourier transform to choose magnitude value as specific data to hide encoded image data. The measures MSE, PSNR, NSCR, and UACI are using to measure the work efficiency in the encryption algorithm, and in measuring the efficiency of the hidden algorithm, use the measures SNR, PSNR, and MSE. The results of the paper are encouraging and efficient compared to other algorithms that performed the same work. Hence our results show the larger the image dimensions used, the better the values.</span>

Improved Vigenere approach incorporating pseudorandom affine functions for encrypting color images

“…Table 6 presents the PSNR values calculated on the reference images tested by our algorithm. The obtained values by our algorithm are within the standards, ensuring that our encryption algorithm is better than that of references [31], [36]. This confirm that our system is robust against differential attacks.…”

Speech signal compression and encryption based on sudoku, fuzzy C-means and threefish cipher

“…The statistical measures used to assess the performance of the system in the encryption and decryption processes included (SNR, SNRseg, fwSNRseg, CC, LLR) [25], [26], [27], the statistical measures in compression used included (CR, SNR, SSSNR, PSNR, MSE). The equations of these measures were [2], [9], [10], [28]…”

Crypto-Stegano Color Image Based on Rivest Cipher 4 (RC4) and Least Significant Bit (LSB)

“…Before the file is encrypted it is called plaintext, after it is encrypted it is called ciphertext [5]. While steganography [6], [7] is the science and [5]art of hiding secret messages where messages are contained in the media but their whereabouts are unknown to the human senses. In this case, it is necessary to create a file security system so that the files sent can be kept confidential.…”