Shafique, Arslan ORCID: https://orcid.org/0000-0001-7495-2248, Rehman, Mujeeb Ur ORCID: https://orcid.org/0000-0002-4228-385X, Khan, Kashif Hesham, Jamal, Sajjad Shaukat ORCID: https://orcid.org/0000-0002-5852-1955, Mehmood, Abid ORCID: https://orcid.org/0000-0002-1468-7259 and Chaudhry, Shehzad Ashraf ORCID: https://orcid.org/0000-0002-9321-6956 (2023) Securing High-Resolution Images from Unmanned Aerial Vehicles with DNA Encoding and Bit-Plane Extraction Method. IEEE Access. p. 1.

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Abstract

Unmanned aerial vehicles (UAVs) are getting more popular for deployment in surveillance
related operations owing to their flexibility and ability to reach hazardous areas. Moreover, the quality of
digital cameras is getting better, and they can capture and store more visual information in high-resolution
images. Unfortunately, due to the resource-constrained nature of UAVs, storing such large images can
exhaust memory and related resources; whereas, the transmission of these images over the public link
can pose several security threats. Securing these critical images during transmission from unauthorized
access can be achieved through the use of efficient encryption techniques. This article proposes a novel
encryption scheme incorporating both confusion and diffusion for encrypting both grey-scale and color
images. In the proposed- encryption scheme, the image blocks are rearranged using a combination of
random permutation, rotation, DNA encoding and zigzag pattern. Next, a bit-plane extraction method is
used to obtain eight different bit-planes, including the most and least significant ones, from the scrambled
image. These extracted bit-planes are then processed using confusion and diffusion techniques with a secret
key, which is created using a hyper-chaotic map. The proposed method for encrypting the images taken by
unmanned ariel vehicles is evaluated by examining its security level and time complexity using evaluation
metrics such as correlation, entropy, energy, histogram analysis, keyspace and key sensitivity. The results
and analysis demonstrated that the proposed encryption algorithm is able to effectively secure digital images.
Additionally, the proposed work is also found to be superior to existing methods when compared using
statistical security metrics.
INDEX TERMS Unmanned aerial vehicles, chaos theory, cyberattacks, DNA encoding

Item Type:	Article
Status:	Published
DOI:	10.1109/ACCESS.2023.3269294
School/Department:	School of Science, Technology and Health
URI:	https://ray.yorksj.ac.uk/id/eprint/7949

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