8878

JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication

Ryo Ito, Muneaki Matsuo, Yuya Miyaoka, Koji Inoue, Shoma Eguchi, Masayuki Kurosaki, Hiroshi Ochi, Yoshimitsu Kuroki, Akio Miyazaki
Department of Computer Science and Electronics, Kyushu Institute of Technology, Kawazu 680-4 Iizuka, Fukuoka, Japan
The 15th International Conference on Advanced Communications Technology (ICACT 2013), 2013
@article{ito2013jpeg,

   title={JPEG 2000 Wireless Image Transmission System using Encryption Domain Authentication},

   author={Ito, R. and Matsuo, M. and Miyaoka, Y. and Inoue, K. and Eguchi, S. and Kurosaki, M. and Ochi, H. and Kuroki, Y. and Miyazaki, A.},

   year={2013}

}

Download Download (PDF)   View View   Source Source   

302

views

In this paper, we propose a wireless high resolution video transmission system with encryption and authentication. The proposed system is implemented by JPEG 2000 coding. We implement JPEG 2000 coder by GPU in CUDA which is an integrated development environment for GPU, or by JPEG 2000 codec LSI. Moreover, the authentication system can check the user information in encrypted domain using Paillier encryption. Therefore, this system is more secure than conventional systems. We show that the proposed system can achieve 4K size coding by 2.34fps with CUDA, and HD size coding by 29.98 fps with LSI codec. In addition, we demonstrate that the authentication using Paillier encryption is successful.
VN:F [1.9.22_1171]
Rating: 0.0/5 (0 votes cast)

* * *

* * *

Like us on Facebook

HGPU group

127 people like HGPU on Facebook

Follow us on Twitter

HGPU group

1188 peoples are following HGPU @twitter

* * *

Free GPU computing nodes at hgpu.org

Registered users can now run their OpenCL application at hgpu.org. We provide 1 minute of computer time per each run on two nodes with two AMD and one nVidia graphics processing units, correspondingly. There are no restrictions on the number of starts.

The platforms are

Node 1
  • GPU device 0: AMD/ATI Radeon HD 5870 2GB, 850MHz
  • GPU device 1: AMD/ATI Radeon HD 6970 2GB, 880MHz
  • CPU: AMD Phenom II X6 @ 2.8GHz 1055T
  • RAM: 12GB
  • OS: OpenSUSE 13.1
  • SDK: AMD APP SDK 2.9
Node 2
  • GPU device 0: AMD/ATI Radeon HD 7970 3GB, 1000MHz
  • GPU device 1: nVidia GeForce GTX 560 Ti 2GB, 822MHz
  • CPU: Intel Core i7-2600 @ 3.4GHz
  • RAM: 16GB
  • OS: OpenSUSE 12.2
  • SDK: nVidia CUDA Toolkit 6.0.1, AMD APP SDK 2.9

Completed OpenCL project should be uploaded via User dashboard (see instructions and example there), compilation and execution terminal output logs will be provided to the user.

The information send to hgpu.org will be treated according to our Privacy Policy

HGPU group © 2010-2014 hgpu.org

All rights belong to the respective authors

Contact us: