Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review

Year : 2025 | Volume : 12 | Issue : 02 | Page : 33 41
    By

    Yamuna Mundru,

  • Atti Manga Devi,

  • Manas Kumar Yogi,

  1. Assistant Professor, Department of Computer Science and Engineering-Artificial Intelligence & Machine Learning, Pragati Engineering College (A), Surampalem, Andhra Pradesh, India
  2. Assistant Professor, Department of Information Technology, Pragati Engineering College (A), Surampalem, Andhra Pradesh, India
  3. Assistant Professor, Department of Computer Science and Engineering, Pragati Engineering College (A), Surampalem, Andhra Pradesh, India

Abstract

This comprehensive review explores the current landscape of privacy preservation techniques in multimedia applications, offering a detailed examination of their effectiveness, limitations, and future directions. As the use of multimedia data continues to grow across diverse sectors such as healthcare, surveillance, social media, and entertainment, ensuring the confidentiality and integrity of this data has become a pressing concern. The study covers a broad spectrum of privacy-preserving approaches, from conventional cryptographic methods to more recent advancements leveraging artificial intelligence and machine learning. By analyzing a wide range of scholarly literature and technical implementations, this review highlights significant trends, unresolved challenges, and emerging opportunities in the field. One of the critical findings is the inherent trade-off between maintaining user privacy and preserving multimedia quality. Many state-of-the-art methods offer strong protection but at the cost of high computational overhead and reduced usability. This study presents a nuanced perspective on how complexity and quality are balanced, suggesting areas for innovation and optimization in future multimedia privacy research.

Keywords: Privacy, multimedia, cryptography, steganography, anonymization

[This article belongs to Journal of Multimedia Technology & Recent Advancements ]

How to cite this article:
Yamuna Mundru, Atti Manga Devi, Manas Kumar Yogi. Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review. Journal of Multimedia Technology & Recent Advancements. 2025; 12(02):33-41.
How to cite this URL:
Yamuna Mundru, Atti Manga Devi, Manas Kumar Yogi. Privacy Preservation Methods in Multimedia Applications: A Comprehensive Review. Journal of Multimedia Technology & Recent Advancements. 2025; 12(02):33-41. Available from: https://journals.stmjournals.com/jomtra/article=2025/view=222334


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Regular Issue Subscription Review Article
Volume 12
Issue 02
Received 26/05/2025
Accepted 31/05/2025
Published 13/06/2025
Publication Time 18 Days
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