A Novel Raster Map Exchange Scheme Based on Visual Cryptography

Ren, Lijing

doi:10.1155/2021/3287774

Cited by 11 publications

(7 citation statements)

References 17 publications

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“…Because the grid map [33, 34] is simple, effective and easy to implement, the grid method is used to model the environment of the mobile robot’s running space, and the size and number of grids are determined by comparing the size of obstacles and the size of the robot’s running space. Figure 2 shows the map model used in this paper.…”

Section: Establishment Of Environmental Modelmentioning

confidence: 99%

Path planning of patrol robot based on modified grey wolf optimizer

Zhang

Ning

Li³

et al. 2023

Robotica

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The grey wolf optimizer (GWO) as a new intelligent optimization algorithm has been successfully applied in many fields because of its simple structure, few adjustment parameters and easy implementation. This paper mainly aims at the defects of GWO in path planning application, such as easily falling into local optimization, poor convergence and poor accuracy, and turn point grey wolf optimization (TPGWO) algorithm is proposed. First, the idea of cross-mutation and roulette is used to increase the initial population of GWO and improve the search range. At the same time, the convergence factor function is improved to become a nonlinear update. In the early stage, the search range is expanded, and in the later stage, the convergence speed is increased, while the parameters in the convergence factor function can be adjusted according to the number of obstacles and the map area to change the turning point of the function to improve the convergence speed and accuracy of the algorithm. The turning times and turning angles of the obtained path are added to the fitness function as penalty values to improve the path accuracy. The optimization test is carried out through 16 test functions, and the test results prove the convergence and robustness of TPGWO algorithm. Finally, the TPGWO algorithm is applied to the path planning of patrol robot for simulation experiments. Compared with the GWO algorithm and Particle Swarm Optimization, the simulation results show that the TPGWO algorithm has better convergence, stability and accuracy in the path planning of patrol robot.

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Section: Establishment Of Environmental Modelmentioning

confidence: 99%

Path planning of patrol robot based on modified grey wolf optimizer

Zhang

Ning

Li³

et al. 2023

Robotica

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“…As our transmission scheme only carries out simple Boolean operations, its encryption transmission performance is equivalent to that of normal images, about 8 times faster than TLS. As shown in Table 2, because there are so many images in the dataset, we randomly selected 10 images from the UCMercd dataset [43]. UCMerced is a classic remote sensing scene recognition dataset used to classify land-use scenarios in urban areas.…”

Section: Experiments and Discussionmentioning

confidence: 99%

A Lightweight Privacy-Preserving System for the Security of Remote Sensing Images on IoT

et al. 2022

Self Cite

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The acquisition of massive remote sensing data makes it possible to deeply fuse remote sensing and artificial intelligence (AI). The mobility and cost advantages of new sensing platforms in the Internet of Things (IoT) make them ideal for continuous deployment rather than traditional airborne platforms. However, remote sensing devices are vulnerable to malicious attacks and privacy leaks when sharing data due to the complex architecture and heterogeneity of IoT and the lack of a unified security protection mechanism. Traditional protection methods based on public-key encryption require not only complex operations but also energy consumption, which poses new challenges for resources-limited IoT. The objective of this paper was to propose a lightweight privacy-preserving system for the security of remote-sensing images based on visual cryptography. This stacking-to-see feature of visual cryptography enables the efficient encryption of big data such as high-resolution and multi-scale remote sensing images in resource-constrained IoT. To alleviate image quality degradation in visual cryptography, we combined denoising neural networks to extract high-quality images from encrypted datasets, thus improving the recognition accuracy of loss datasets. We conducted extensive experiments, and the results verify the effectiveness of the proposed method in terms of privacy protection and classification accuracy.

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“…In the original EVCS, to encrypt a single pixel, it needs a sub-pixel composed of multiple pixels for secret sharing. A common method is block-wise encryption 14 , 15 for eliminating pixel expansion. The basic idea of block encryption is to encrypt by sharing blocks whose size is equal to that of the secret block.…”

Section: Qevcs: a Qr Code-based Expansion-free Extended Visual Crypto...mentioning

confidence: 99%

“…The aforementioned schemes cannot restore the secret image by simply superimposing images like the original VCS due to the XOR operation. However, it is still expected to reveal images directly through HVS in many scenarios including medical images and paper maps 14 . Our scheme can be applied to these scenes without cryptographic computation.…”

Section: Introductionmentioning

confidence: 99%

A QR code-based user-friendly visual cryptography scheme

Ren

Zhang

2022

Sci Rep

Self Cite

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Benefiting from the development of the Internet and smart devices, it is now convenient to transmit images anywhere and anytime, which poses a new challenge for image security. The Visual Cryptography Scheme (VCS) is a secret sharing method for protecting an image without a key, the merit of VCS is the human visual system (HVS) can restore the secret image by simply superimposing qualified shares, without any computation. To eliminate noise-like shares in traditional VCS, this paper presents a novel QR code-based expansion-free and meaningful visual cryptography scheme (QEVCS), which generates visually appealing QR codes for transmitting meaningful shares. When distributing on public networks, this scheme does not attract the attention of potential attackers. By limiting the gray-level of a halftoned image, QEVCS both keep the computation-free of visual cryptography and the size of recovery image same as the secret images. The experimental results show the effectiveness of QEVCS when preserving the privacy of images.

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A Novel Raster Map Exchange Scheme Based on Visual Cryptography

Cited by 11 publications

References 17 publications

Path planning of patrol robot based on modified grey wolf optimizer

Path planning of patrol robot based on modified grey wolf optimizer

A Lightweight Privacy-Preserving System for the Security of Remote Sensing Images on IoT

A QR code-based user-friendly visual cryptography scheme

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