![](/images/graphics-bg.png)
Hardware implementation of artificial neural network for data ciphering
Other Title(s)
التنفيذ المادي للشبكة العصبية الاصطناعية المستخدمة لأغراض تشفير البيانات
Joint Authors
Fathi, Tuqa A.
Hasan, Qutaybah A.
Qadduri, Sahar Lazim
Source
Tikrit Journal of Engineering Sciences
Issue
Vol. 23, Issue 2 (30 Jun. 2016), pp.74-85, 12 p.
Publisher
Tikrit University Colleg of Engineering
Publication Date
2016-06-30
Country of Publication
Iraq
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper introduces the design and realization of multiple blocks ciphering techniques on the FPGA (Field Programmable Gate Arrays).
A back propagation neural networks have been built for substitution, permutation and XOR blocks ciphering using Neural Network Toolbox in MATLAB program.
They are trained to encrypt the data, after obtaining the suitable weights, biases, activation function and layout.
Afterward, they are described using VHDL and implemented using Xilinx Spartan-3E FPGA using two approaches: serial and parallel versions.
The simulation results obtained with Xilinx ISE 9.2i software.
The numerical precision is chosen carefully when implementing the Neural Network on FPGA.
Obtained results from the hardware designs show accurate numeric values to cipher the data.
As expected, the synthesis results indicate that the serial version requires less area resources than the parallel version.
As, the data throughput in parallel version is higher than the serial version in rang between (1.13-1.5) times.
Also, a slight difference can be observed in the maximum frequency.
American Psychological Association (APA)
Qadduri, Sahar Lazim& Fathi, Tuqa A.& Hasan, Qutaybah A.. 2016. Hardware implementation of artificial neural network for data ciphering. Tikrit Journal of Engineering Sciences،Vol. 23, no. 2, pp.74-85.
https://search.emarefa.net/detail/BIM-936938
Modern Language Association (MLA)
Qadduri, Sahar Lazim…[et al.]. Hardware implementation of artificial neural network for data ciphering. Tikrit Journal of Engineering Sciences Vol. 23, no. 2 (2016), pp.74-85.
https://search.emarefa.net/detail/BIM-936938
American Medical Association (AMA)
Qadduri, Sahar Lazim& Fathi, Tuqa A.& Hasan, Qutaybah A.. Hardware implementation of artificial neural network for data ciphering. Tikrit Journal of Engineering Sciences. 2016. Vol. 23, no. 2, pp.74-85.
https://search.emarefa.net/detail/BIM-936938
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-936938