Study of the Sensitivity of an InSAR Interferogram Encrypted by the AES-128 Algorithm

Cherrid, Nada; Saidi, Riad; Bentahar, Tarek; Mayache, Hichem

doi:10.1109/ssd52085.2021.9429323

Cited by 1 publication

(1 citation statement)

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“…Bensikaddour et al [25] proposed a modified AES-CTR along with a Geffe generator to encrypt satellite images with optimized use of resources. AES-CTR is a completely symmetrical and more efficient method for high-performing applications [46]. And also proposed Fridrich's scheme to encrypt multispectral images using chaos-based image encryption that adopts confusion and diffusion methods by changing the positions of the pixels [47].…”

Section: Literature Reviewmentioning

confidence: 99%

Comparative study on satellite based image encryption methods: a survey

Vasudevaiah,

Shivaswamy

2024

IJECE

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The availability of high-resolution satellite images increases with advancements in remote sensing technology. These satellite images are used in various earth observation applications such as disaster management, military applications, weather forecasting, land use and cover, and many more. Satellite images have large volumes stored in memory devices. These satellite images are transmitted to the ground station for processing and analysis. In these cases, images are vulnerable to privacy issues. As technology advances, onboard processing of satellite images using intelligent systems processes the images faster. A model such as field programmable gate arrays (FPGA) is used in onboard processing to process satellite images. However, images are susceptible to faults induced by harsh radiation environments in space. Encryption is one of the most assured methods to provide privacy to satellite images. Hence, encryption of satellite images during processing, storage, and transmission is the present rising demand. There are various encryption methods implemented using algorithms such as advanced encryption standard (AES), homomorphic, advanced encryption standard-counter (AES-CTR), and chaotic maps. Concurrent processing and encryption of images using MapReduce with Hadoop Framework perform the task faster. The focus of this paper is a comparative study of the various encryption methods used in recent years.

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Section: Literature Reviewmentioning

confidence: 99%