Multimedia Security Using Encryption: A Survey
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Considering the current dependency on digital technology in modern society, the protection of multimedia is highly important. Encryption is vital in modern digital communication, ensuring data confidentiality, authentication, integrity, and non-repudiation. Multimedia encryption-based security techniques are becoming increasingly important as they allow for the secure sharing of multimedia content on digital platforms. This survey aims to review the state of secure and privacy-preserving encryption schemes applicable to digital multimedia, such as digital images, digital video, and digital audio. An extensive analysis of the existing cryptography schemes and multimedia encryption algorithms will be conducted to give an extensive overview of the current state of security encryption schemes specifically designed for digital multimedia technology. The survey results will be used to understand better the effectiveness and reliability of secure multimedia encryption schemes and contribute to developing efficient and secure encryption schemes in the future.
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Chaos-based encryption methods introduce a high degree of non-linearity and complexity, which is crucial for thwarting cryptographic attacks.
“Utilizing the inherent unpredictability and sensitivity to initial conditions characteristic of chaotic systems, chaos-based encryption methods introduce a high degree of non-linearity and complexity12–14. This is crucial for thwarting a variety of cryptographic attacks, enhancing the security of multimedia files.”
From A chaos-based augmented image encryption scheme for satellite images using Fredkin logic (2025) · cites this paper as [12]
The Encryption section says chaotic maps are sensitive to initial conditions, making encryption keys difficult for attackers to predict, and the survey describes complex chaos-based schemes that resist attacks (Spatial Domain; Full Encryption). These passages support the security rationale, but our copy does not specifically attribute a high degree of non-linearity to chaos-based encryption or identify non-linearity as crucial to thwarting attacks. (LLM, conf=0.82)
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- KHALID M. HOSNY (Senior Member, IEEE) was born in Zagazig, Egypt, in 1966. He received the B.Sc., M.Sc., and Ph.D. degrees from Zagazig University, Egypt, in 1988, 1994, and 2000. He is currently a Professor in information technology with the Faculty of Computers and Informatics, Zagazig University. From 1997 to 1999, he was a Visiting Scholar with the University of Michi- gan, Ann Arbor, and the University of Cincinnati, Cincinnati, USA. He is a Senior Member of ACM. He has published four edited books and more than 140 papers in inter- national journals. His research interests include image processing, pattern recognition, multimedia, and computer vision. He is an editor and a scientific reviewer of more than 70 international journals. He was among the top 2% of scientists according to the Stanford ranking (2020-2022).
- Authors
- Hosny, K. M., Zaki, M. A., Lashin, N. A., Fouda, M. M., & Hamza, H. M.
- Affiliations
- Zagazig University (EG)
- Idaho State University (US)
- Venue
- IEEE Access
- Published
- 2023
- Volume
- 11
- Pages
- 63027-63056
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W4381327710
- Cited by
- 82
- References
- 107
- Citations by year
- 2026: 25 · 2025: 23 · 2024: 31 · 2023: 3
- FWCI
- 7.45
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- IEEE Access (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Chaos-based Image/Signal Encryption
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Keywords
- multimedia encryption, image encryption, data confidentiality, authentication, data integrity, non-repudiation, privacy-preserving encryption, encryption algorithms
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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