The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Dong, Jie; Wu, Guowei; Yang, Tingting

doi:10.3390/s18103430

“…However, it is clear from proposed scrambling algorithm that it contains no actual difusion stage. Difusion stage emphasizes on establishing a dependent relationship between the encrypted image and original image in a complicated manner; where a change in one pixel in the original image changes encrypted image almost entirely [58]. As such in NPCR evaluation, a slight change is made on encryption key such that values of k, n, or both are changed.…”

Section: Number Of Pixels Changementioning

confidence: 99%

An Integration of New Digital Image Scrambling Technique on PCA-Based Face Recognition System

Abusham

¹

,

Ibrahim

²

,

Zia

³

et al. 2022

Scientific Programming

0

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Systems using biometric authentication offer greater security than traditional textual and graphical password-based systems for granting access to information systems. Although biometric-based authentication has its benefits, it can be vulnerable to spoofing attacks. Those vulnerabilities are inherent to any biometric-based subsystem, including face recognition systems. The problem of spoofing attacks on face recognition systems is addressed here by integrating a newly developed image encryption model onto the principal component pipeline. A new model of image encryption is based on a cellular automaton and Gray Code. By encrypting the entire ORL faces dataset, the image encryption model is integrated into the face recognition system’s authentication pipeline. In order for the system to grant authenticity, input face images must be encrypted with the correct key before being classified, since the entire feature database is encrypted with the same key. The face recognition model correctly identified test encrypted faces from an encrypted features database with 92.5% accuracy. A sample of randomly chosen samples from the ORL dataset was used to test the encryption performance. Results showed that encryption and the original ORL faces have different histograms and weak correlations. On the tested encrypted ORL face images, NPCR values exceeded 99%, MAE minimum scores were over (>40), and GDD values exceeded (0.92). Key space is determined by u 2 s i z e A 0 where A0 represents the original scrambling lattice size, and u is determined by the variables on the encryption key. In addition, a NPCR test was performed between images encrypted with slightly different keys to test key sensitivity. The values of the NPCR were all above 96% in all cases.

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“…Its purpose is to disguise the image to become difficult for intruders to be distinguished. So the original image is converted by scrambling into random format which is meaningless and unrecognizable by users [14].…”

Section: A Image Scramblingmentioning

confidence: 99%

A Dwt and Scrambling Based Blind Watermarking Algorithm for Digital Images Authentication

Eid,

Emran,

Morsy

2019

IJEAT

0

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Like the other multimedia that is spread on the Internet, images are also vulnerable to theft and attacks. Protecting the image is therefore an urgent necessity because it represents a large proportion of the digital content. Authentication and ownership protection are the basic demands of image security and these are achieved by applying watermarking techniques. For the Muslim world, the Holy Quran has its sanctity, which does not accept any controversy or doubt. As part of keeping pace with modern technology, digital copies of the Holy Qur’an are available, which are widely distributed all over the world. Therefore, it is necessary to ensure that these copies maintain their integrity and ensure that there are no malicious manipulations. In this paper, we propose an image watermarking scheme to authenticate the images of digital version of Holy Quran using discrete wavelet transform DWT. Here a fragile watermark is used to clarify whether there is any modification occurred to the intended images. Initially the cover image is decomposed by DWT where 2nd and 4th level coefficients are exploited for watermark embedding. The intended watermark is obtained by scrambling the original cover image. Then the scrambled image is inserted into the DWT coefficients by several trials using different embedding gains. To evaluate our system and see how effective it is to detect any error or manipulation, PSNR, SSIM and MSE are employed beside that they are acting as an imperceptibility measure. Results proved that our method has achieved a good level of imperceptibility and can detect any slight tamper. It is necessary to bear in mind that this method is valid for application to normal color images as well and gives an excellent level of efficiency

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“…Remote sensing images carry extensive sensitive information about remote sensing targets [1]. Direct transmission of sensitive information is risky because hackers are usually interested in intercepting them [2,3]. Moreover, remote sensing image data transmission in countries along the "Belt and Road" involves cross-border/international transmission.…”

Section: Introductionmentioning

confidence: 99%

A Joint Encryption and Compression Algorithm for Multiband Remote Sensing Image Transmission

Cao,

Leng,

Yu

et al. 2023

Sensors

5

0

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Due to the increasing capabilities of cybercriminals and the vast quantity of sensitive data, it is necessary to protect remote sensing images during data transmission with “Belt and Road” countries. Joint image compression and encryption techniques exhibit reliability and cost-effectiveness for data transmission. However, the existing methods for multiband remote sensing images have limitations, such as extensive preprocessing times, incompatibility with multiple bands, and insufficient security. To address the aforementioned issues, we propose a joint encryption and compression algorithm (JECA) for multiband remote sensing images, including a preprocessing encryption stage, crypto-compression stage, and decoding stage. In the first stage, multiple bands from an input image can be spliced together in order from left to right to generate a grayscale image, which is then scrambled at the block level by a chaotic system. In the second stage, we encrypt the DC coefficient and AC coefficient. In the final stage, we first decrypt the DC coefficient and AC coefficient, and then restore the out-of-order block through the chaotic system to get the correct grayscale image. Finally, we postprocess the grayscale image and reconstruct it into a remote sensing image. The experimental results show that JECA can reduce the preprocessing time of the sender by 50% compared to existing joint encryption and compression methods. It is also compatible with multiband remote sensing images. Furthermore, JECA improves security while maintaining the same compression ratio as existing methods, especially in terms of visual security and key sensitivity.

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The Improved Image Scrambling Algorithm for the Wireless Image Transmission Systems of UAVs

Cited by 9 publications

References 30 publications

An Integration of New Digital Image Scrambling Technique on PCA-Based Face Recognition System

An Integration of New Digital Image Scrambling Technique on PCA-Based Face Recognition System

A Dwt and Scrambling Based Blind Watermarking Algorithm for Digital Images Authentication

A Joint Encryption and Compression Algorithm for Multiband Remote Sensing Image Transmission

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