Exploring Image Encryption Techniques: Challenges and Real-Life Application Insights with AI Influence
DOI:
https://doi.org/10.47852/bonviewJCCE52026947Keywords:
data security, security for image, encryption, artificial intelligence, image encryptionAbstract
In today's rapidly evolving digital landscape, the importance of data security cannot be overstated. Every day, vast amounts of information are generated and shared, with each data type (whether text, image, audio, or video) possessing its own unique characteristics and vulnerabilities. Among these, image data stand out due to their intricate structure and the sheer volume of sensitive information that they can contain. Images are different from text data. Text data are straightforward data and are easy to protect. Images are difficult to protect because they are not straightforward. Ways used for encryption have long been considered suitable for encrypting image data. However, currently, they are not. Criminals are developing techniques every day to defeat the right-spotting methods of the business world. Further, this prompts scientists and professionals to find effective solutions. This is where artificial intelligence (AI) comes into play. Techniques for securing images enhanced by AI have the potential to improve image encryption significantly in a manner that increases both protective security efficiency and processing efficiency. This paper discusses various image encryption techniques in detail, including both ancient and modern methods for protecting visual information. It also discusses AI that helps in enhancing the accuracy and efficacy of these encryption techniques. When it comes to encryption of images, AI makes it more powerful. It can also counter newer threats that are emerging. Therefore, security is more dependable and efficient. This paper gives a detailed review of state-of-the-art methods and their effectiveness over traditional methods. By delving into various AI techniques for image encryption, this paper shows that the incorporation of these techniques makes image encryption more secure and efficient.
Received: 25 July 2025 | Revised: 18 September 2025 | Accepted: 11 October 2025
Conflicts of Interest
The authors declare that they have no conflicts of interest to this work.
Data Availability Statement
Data sharing is not applicable to this article as no new data were created or analyzed in this study.
Author Contribution Statement
Dyala Ibrahim: Conceptualization, Methodology, Software, Validation, Investigation, Writing – original draft, Writing – review & editing, Supervision, Project administration. Omar Isam Al Mrayat: Methodology, Software, Validation, Investigation, Writing – original draft, Supervision, Project administration. Ahmad Reda Alzighaibi: Formal analysis, Writing – original draft, Visualization. Hasan Hashim: Writing – original draft, Visualization. El-Sayed Atlam: Writing – original draft, Visualization.
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