arrow
Return

Chaos-based audio encryption algorithm using biometric image and SHA-256 hash algorithm

delete2023-04-22
delete7
PRE
AI
B
B. Rahul *
K
K. Kuppusamy
A
A. Senthilrajan
DOI:10.1007/s11042-023-15289-xdelete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Today, Internet users who share personal and professional data are concerned about the safety of the data. Encryption is one way to safeguard sensitive and private data on internet sites. Encrypting audio data is more challenging than other types of data owing to the correlation between neighbouring samples. Encryption algorithms based on chaos theory are now widely used to protect digital audio and image data. Chaos theory is the idea that tiny changes in initial conditions will escalate into much more significant difference in the future. This paper proposes a robust and effective method for audio encryption based on chaos theory and user-biometric images. In addition, the SHA-256 hash technique and zigzag traversal are employed to bolster the system. First, the algorithm reads the sample values from the input audio and then separates them into byte blocks. In addition, each byte block is blended with chaotic sequences generated by the Henon map first, then by the Lorenz system. The chaotic sequences generated by the logistic map are used to create different initial values for the Henon map and Lorenz Systems. The initial values of the logistic map are constructed using the hash values of the plain audio signals and biometric images produced by the SHA-256 hash algorithm. The proposed method has a variety of desirable characteristics, such as good chaotic behaviour, low computational complexity, a huge key space, and substantial parameter space. The results of the various security and performance assessments show that the proposed algorithm is more robust and efficient than existing approaches against all forms of crypto-graphic threats.
Keywords:
Chaotic maps
SHA-256 hash algorithm
Biometric image
Zigzag traversal
Audio encryption
Cryptanalysis

Journal

Multimedia Tools and Applications cover
Multimedia Tools and Applications
IF:
3
Papers:
2.0W
Citations:
3.2W

Organization

A
Alagappa University
Scholars:
2.3K
Papers: 2.2K
Citations: 2.9K
Cited Papers

Cited Papers

errShare
errSave
Digital audio signals encryption by Mobius transformation and Henon map
err2019-11-18
err32
PREAI
errShah, Dawood; Shah, Tariq; Jamal, Sajjad Shoukat
errShare
errSave
Chaos-based joint speech encryption scheme using SHA-1
err2021-01-03
err19
PREAI
errKaur, Gurvir; Singh, Kuldeepak; Gill, Harsimranjit Singh
errShare
errSave
errShare
errSave
IEVCA: An efficient image encryption technique for IoT applications using 2-D Von-Neumann cellular automata
err2020-10-01
err30
PREAI
errRoy, Satyabrata; Shrivastava, Manu; Pandey, Chirag Vinodkumar; Nayak, Sanjeet Kumar; Rawat, Umashankar
errShare
errSave
DNA Encoding and Channel Shuffling for Secured Encryption of Audio Data
err2019-05-17
err32
PREAI
errNaskar, Prabir Kumar; Paul, Soumya; Nandy, Dipta; Chaudhuri, Atal
errShare
errSave
errShare
errSave
Novel design of cryptosystems for video/audio streaming via dynamic synchronized chaos-based random keys
err2022-05-21
err9
errOAAI
errLin, Chih-Hsueh; Hu, Guo-Hsin; Chen, Jie-Sheng; Yan, Jun-Juh; Tang, Kuang-Hui
errShare
errSave
researcher View more