
A novel image encryption technique using hybrid method of discrete dynamical chaotic maps and Brownian motion
Author(s) -
Majid Khan,
Fawad Masood,
Abdullah Alghafis,
Muhammad Bilal Amin,
Syeda Iram Batool Naqvi
Publication year - 2019
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0225031
Subject(s) - encryption , computer science , chaotic , digital image , hacker , image (mathematics) , information security , computer vision , brownian motion , theoretical computer science , chaos (operating system) , data mining , artificial intelligence , algorithm , computer security , mathematics , image processing , statistics
Information security is an important and critical subject of the current digital era. Nowadays, almost all information is digital in nature and security from hackers and eavesdroppers has become vital in civil (big giant corporations) as well as in defense organizations. One type of information in bit streams is in the form of digital images. In this article, an idea to combine Brownian motion with ternary unique orientation has been implemented which is related to random motion over time and spatial coordinates. Moreover, chaotic dynamical map has been used to add one more security level to the proposed encryption scheme. The proposed scheme is evaluated on different statistical tests and these results are compared with already existing benchmarks. The results show that the proposed algorithm has better security performances as compared to existing image enciphering schemes.