Hybrid encryption technique: Integrating the neural network with distortion techniques
This paper proposes a hybrid technique for data security. The computational model of the technique is grounded on both the nonlinearity of neural network manipulations and the effective distortion operations. To accomplish this, a two-layer feedforward neural network is trained for each plaintext bl...
Saved in:
| Main Author: | Abu Zitar, Raed (author) |
|---|---|
| Other Authors: | Al-Muhammed, Muhammed J. (author) |
| Published: |
2022
|
| Online Access: | https://depot.sorbonne.ae/handle/20.500.12458/1307 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Encryption technique based on chaotic neural network space shift and color‑theory‑induced distortion
by: Abu Zitar, Raed
Published: (2022) -
Light and Secure Encryption Technique Based on Artificially Induced Chaos and Nature-Inspired Triggering Method
by: Abu Zitar, Raed
Published: (2022) -
Digital Image Encryption Techniques for Wireless Sensor Networks
by: unknown
Published: (2020) -
Selective encryption techniques for secure transmission of MPEG video bit-streams.
by: Al-Regib, Ghassan Ibrahim
Published: (1998) -
Post-compensation of Transmitter's Nonlinear Distortions at the Receiver Using Compressed Sensing Techniques for OFDM Applications
by: unknown
Published: (2020)