Real-time cheating immune secret sharing for remote sensing images

To observe the earth surface and its atmospheric interaction, various advanced optical and radar sensors are utilized. This observation returns a huge amount of optical multidimensional remote sensing images which may be used in multidisciplinary fields. The processing of these images in real time i...

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Vydáno v:Journal of real-time image processing Ročník 18; číslo 5; s. 1493 - 1508
Hlavní autoři: Shivani, Shivendra, Patel, Subhash Chandra, Arora, Vinay, Sharma, Bhisham, Jolfaei, Alireza, Srivastava, Gautam
Médium: Journal Article
Jazyk:angličtina
Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2021
Springer Nature B.V
Témata:
Algorithms
Boolean
Cheating
Complexity
Computer Graphics
Computer Science
Cryptography
Data structures
Earth surface
Image Processing and Computer Vision
Multimedia Information Systems
Pattern Recognition
Real time
Remote observing
Remote sensing
Signal,Image and Speech Processing
Spatial resolution
Special Issue Paper
Real-time processing
Cheating immune
Parallel processing
Remote sensing images
Meaningful shares
Multicore environment
Statistical image processing
ISSN:1861-8200, 1861-8219
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Popis
Shrnutí:To observe the earth surface and its atmospheric interaction, various advanced optical and radar sensors are utilized. This observation returns a huge amount of optical multidimensional remote sensing images which may be used in multidisciplinary fields. The processing of these images in real time is a challenging task because of their high spatial resolution and complex data structure. At the same time, these images are quite confidential in various applications such as in the military and intelligence sectors. For secretly transmitting the remote sensing images in real time, a real-time cheating immune secret sharing approach is introduced in this paper. The proposed approach minimizes the time as well as space complexity for the secret sharing effectively. It also generates meaningful shares without the restriction for any fixed number participants. Generated shares by the proposed approach are cheating immune. That means they can authenticate themselves if tampered with. Experimental results show the effectiveness of the proposed approach.
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ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-020-01005-7