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Related Experiment Video

Updated: Aug 27, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Hybrid encryption technique: Integrating the neural network with distortion techniques.

Raed Abu Zitar¹, Muhammed J Al-Muhammed²

¹Sorbonne University Center of Artificial Intelligence, Sorbonne University-Abu Dhabi, Abu Dhabi, U.A.E.

|September 28, 2022

Summary

This study introduces a hybrid data security technique combining neural networks and distortion operations for enhanced confidentiality and integrity. Rigorous testing confirms its effectiveness in producing highly confused ciphertext and secure digital signatures.

Related Experiment Videos

Last Updated: Aug 27, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Computer Science
Cybersecurity
Cryptography

Background:

Traditional data security methods face evolving threats.
The need for robust encryption and integrity verification is paramount.
Hybrid approaches offer potential for enhanced security.

Purpose of the Study:

To propose a novel hybrid technique for data security.
To ensure both confidentiality and integrity of information.
To leverage neural networks and distortion operations for advanced encryption.

Main Methods:

A two-layer feedforward neural network for encoding and decoding plaintext blocks.
Distortion and substitution operations controlled by a key-based random number generator for confusion.
A parallel recurrent neural network for generating digital signatures to ensure integrity.

Main Results:

The hybrid technique produces highly uncorrelated ciphertext, maximizing confusion.
The method effectively maintains information confidentiality and block integrity.
Rigorous randomness testing validated the technique's effectiveness.

Conclusions:

The proposed hybrid technique offers a robust solution for data security.
Combining neural networks with distortion operations enhances encryption.
The integrated digital signature mechanism ensures data integrity effectively.