Asymmetric Image Encryption Based on Twin Message Fusion

  • Mohammed Elhabib Kahla
  • , Mounir Beggas
  • , Abdelkader Laouid
  • , Mostefa Kara
  • , Muath Alshaikh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

After the digital revolution, it has become imperative for us to protect personal information, one of the most important of this information is the image, the most widely used protection methods are encryption, and despite the research that included this topic, there are still a few problems, including encryption and decryption speed, image encryption size, and how keys can be shared by Safeway. This paper proposes a novel image asymmetric encryption scheme based on Magic Number Fragmentation and El-Gamal Encryption (MNF-G); to begin with, the plain- image is converted into blocks of bits; then, to decimal; finally, the plain-image well be encrypted these blocks by MNF-G algorithm. The experimental result shows that the proposed algorithm can successfully encrypt/decrypt images and it has a good encryption effect. Image encrypted developed by this scheme will be entirely different when compared to the original image file and will be suitable for the secured transmission over the internet. Thus, this model provides an additional level of security.

Original languageEnglish
Title of host publication2021 Proceedings of the International Conference on Artificial Intelligence for Cyber Security Systems and Privacy, AI-CSP 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665467148
DOIs
StatePublished - 2021
Externally publishedYes
Event2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy, AI-CSP 2021 - El Oued, Algeria
Duration: 20 Nov 202121 Nov 2021

Publication series

Name2021 Proceedings of the International Conference on Artificial Intelligence for Cyber Security Systems and Privacy, AI-CSP 2021

Conference

Conference2021 International Conference on Artificial Intelligence for Cyber Security Systems and Privacy, AI-CSP 2021
Country/TerritoryAlgeria
CityEl Oued
Period20/11/2121/11/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Image
  • Image decryption
  • Image encryption
  • Privacy preserving
  • Security

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Health Informatics

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