Privacy Protection Method Based On Multidimensional Feature Fusion Under 6G Networks

Li, Mianjie; Liu, Yuan; Tian, Zhihong; Shan, Chun

doi:10.1109/tnse.2022.3186393

Cited by 9 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multimodal data in 6G networks will be heavily reliant on network and information security as a result of this trend, which creates signi cant privacy protection concerns. Scholars have so been interested in privacy protection techniques based on information hiding [21]. This paper focuses on the con dentiality and privacy in transmitting information over the sixth generation wireless communications network.…”

Section: Availabilitymentioning

confidence: 99%

Performance Analysis of SVD and LSB Steganography Data Hiding Techniques: 6G Network Security Survey

Sr,

Eltokhy,

Abouelazm

et al. 2023

Preprint

View full text Add to dashboard Cite

The proposed visions for the sixth generation wireless communications network indicate that it will have the ability to transmit massive amounts of data in a very short time. These visions require the sixth-generation network to have a high level of security. This paper focuses on the confidentiality and privacy of data on the sixth-generation wireless communications network. The paper provides a comparison between two techniques of data hiding and showing that may be used with modern security technologies in sixth-generation networks, namely LSBsteganography and SVD watermarking.This comparison between the two technologies is to determine the strength and reliability of each technology in hiding and showing data without affecting it during transmission over the network. This paper provides the comparison by implementing some simulation experiments using these technologies on different types of data such as images, numerical data, and text messages. The simulation results showed the strength and reliability of each technology in hiding and showing data, as well as the impact of each technology on the transmitted data and whether it caused any loss or not.

show abstract

Section: Availabilitymentioning

confidence: 99%

Performance Analysis of SVD and LSB Steganography Data Hiding Techniques: 6G Network Security Survey

Sr,

Eltokhy,

Abouelazm

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Unless otherwise specified, all images are resized to 128×128. Specifically, we download the 2017 training images from the official COCO website 1 . The we randomly choose 10000 images from it as the training set, 1000 images as the test set.…”

Section: A Experiments Setup Metrics and Baseline 1) Experiments Setupmentioning

confidence: 99%

“…With the development of communication technology, large amounts of images are spread over the networks, which makes the copyright protection become an increasingly important problem [1], [2], [3]. Digital watermarking [4] is a technique that embeds a marked message into multimedia files while maintaining the visual quality of the original file and providing robustness against various noise attacks, including random cropping, blurring, and JPEG (Joint Photographic Experts Group) compression.…”

mentioning

confidence: 99%

Enhanced Attention Mechanism-Based Image Watermarking With Simulated JPEG Compression

Zhong,

Pan,

Wang

et al. 2023

IEEE Access

View full text Add to dashboard Cite

Deep learning-based image watermarking algorithms have been widely studied as an important technology for copyright protection. These methods utilize an end-to-end architecture with an encoder, a noise layer and a decoder to make the watermark robust to various distortions. However, recent algorithms present unsatisfactory visual quality and robustness against JPEG compression, which is the most common image processing operation but is non-differential thus cannot be directly included in the noise layer. To address this limitation, this study proposes a novel enhanced attention-based image watermarking algorithm with simulated JPEG compression, which leverages the channel and spatial attention mechanism to facilitate watermark embedding and simulates JPEG compression with a suitably designed function. Precisely, we design a differentiable rounding function based on the Fourier series to replace the quantization process in JPEG compression, which overcomes the non-differentiability of JPEG compression and can be incorporated in the training process. In addition, we propose an enhanced dual attention module in the encoder, which combines channel and spatial attention to improve the performance of our model. The channel attention guides the encoder to fuse the watermark into more important channels and the spatial attention further helps to embed the watermark into regions with more complex textures. The experimental results show that our method generates high quality watermarked images, with PSNR over 50 when no noise is applied. Compared with current methods, our model achieves stronger robustness to JPEG compression, with bit accuracy over 99% under the JPEG compression with quality factor of 50. Besides, the proposed framework also exhibits excellent robustness for a variety of common distortions, including cropout and dropout.

show abstract

“…In [64], the authors proposed a technique for data hiding relies on multi-dimensional featuresfusion to protect privacy in 6G networks.The authors implemented preprocessing on the private data to encrypt it for enhanced security. Then, they implemented multi-dimensional feature extraction on the carrier and merged these features to get the final feature area.…”

Section: Related Workmentioning

confidence: 99%

Flexible Multi-Layered Security System: Secure 6G Mobile Network Considerations

Sr,

El-Bendary,

Eltokhy

et al. 2023

Preprint

View full text Add to dashboard Cite

The vision of 6G networks refers to linking undersea, terrestrial, and space networks together. This vision involves transferring a massive amount of data over the network. 6G network requires very high levels of security. This paper presents the proposed vision of 6G security. This paper focuses on security levels on 6G network. The paper proposes a multi-level security system that secures the data without affecting it. The multi-level security system consists of three security levels, which are two encryption techniques and a data hiding technique. The paper carried outmany simulation experiments to find the best integration of these techniques that provides the best security performance without affecting the data. The best simulation experiments that provided the best data security performance were the integration between 2D Logistic map, SVD, and Baker Map, respectively. This system provided the best simulation results for data security. The simulation results indicated a perfect match between the original message and the decryption original message after applying the system. The results also indicated that there was no effect on the data and no loss of data.

show abstract

Privacy Protection Method Based On Multidimensional Feature Fusion Under 6G Networks

Cited by 9 publications

References 31 publications

Performance Analysis of SVD and LSB Steganography Data Hiding Techniques: 6G Network Security Survey

Performance Analysis of SVD and LSB Steganography Data Hiding Techniques: 6G Network Security Survey

Enhanced Attention Mechanism-Based Image Watermarking With Simulated JPEG Compression

Flexible Multi-Layered Security System: Secure 6G Mobile Network Considerations

Contact Info

Product

Resources

About