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All Journal Bulletin of Electrical Engineering and Informatics
Al-Nima, Raid Rafi Omar
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Electrical & Electronics Engineering

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Signal multiple encodings by using autoencoder deep learning Anaz, Ammar Sameer; Al-Ridha, Moatasem Yaseen; Al-Nima, Raid Rafi Omar
Bulletin of Electrical Engineering and Informatics Vol 12, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i1.4229

Abstract

Encryption is a substantial phase in information security. It permits only approved persons to get private information. This study suggests a signal multi-encryptions system (SMES) technique for coding and decoding signals created by a deep autoencoder network (DAN). The DAN of four layers is employed for a coding package of signals multiple times before decoding or restructuring the original signals again. The suggested SMES offers a high level of security as it can produce and exploit multiple encryptions for signals. Many statistical calculations are applied to measure the reliability of the system. The outcomes are promising where noteworthy encryptions-decryptions are obtained.
Co-Authors Al-Ridha, Moatasem Yaseen Anaz, Ammar Sameer