Optimizing video data security: A hybrid MAES-ECC encryption technique for efficient internet transmission

Sobia Shafiq, Sohaib Latif, Jawad Ibrahim, M Saad Bin Ilyas, Azhar Imran, Natalia Kryvinska, Ahmad Alshammari and Mohammed El-Meligy

PLOS ONE, 2024, vol. 19, issue 11, 1-15

Abstract: Data security is becoming important as the amount of video data transmitted over the internet grows rapidly. This research article aims to maximize the security of transmitted video data by proposing a novel hybrid technique for video encryption and decryption. Elliptic Curve Cryptography (ECC) and the Modified Advanced Encryption Standard (MAES) are two encryption techniques that are included in the hybrid approach. By providing a more effective and safe method for video encryption and decryption, this research considerably advances the field of video data protection in Internet communication. In the proposed technique the video frames are extracted, and each frame is first encrypted using MAES technique and then again encrypted using ECC technique. After the encryption, the individual frames are merged to make an encrypted video. The same process is performed in reverse order to perform decryption of the video. The results of the experiments demonstrate the effectiveness of the suggested scheme: higher security, better accuracy, and shorter processing times when compared to well-known techniques such as Advanced Encryption Standard (AES), MAES, ECC, Simplified Data Encryption Standard (SDES), and Chaotic Map methods.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0311765 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 11765&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0311765

DOI: 10.1371/journal.pone.0311765

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().