Sanitization of Multimedia Content: A Survey of Techniques, Attacks, and Future Directions
Andrea Ciccotelli, Hanaa Abbas, Roberto Di Pietro

TL;DR
This survey comprehensively reviews multimedia sanitization techniques, attacks, and future research directions, emphasizing the importance of securing sensitive information across various media types in an increasingly data-driven society.
Contribution
It classifies multimedia sanitization methods, reviews existing technologies, discusses attacks and countermeasures, and highlights open challenges and future research directions.
Findings
Classification of sanitization methods by media type and technique
Analysis of attacks targeting multimedia sanitization technologies
Identification of open research challenges in multimodal sanitization
Abstract
The exploding rate of data publishing in our networked society has magnified the risk of sensitive information leakage and misuse, pushing the need to secure multimedia content from unintended exposure to potentially untrusted third parties. Data sanitization -- the process of securing multimedia by removing or obfuscating sensitive information such as personally identifiable or confidential data -- helps to mitigate the severe impact of security risks and privacy violations related to the published data. In this paper, we make several contributions. First, we classify data sanitization methods along two main dimensions: the media type (images, audio, text, and video) and the techniques used to sanitize sensitive regions, which we group into obfuscation-based (e.g., distortion, replacement) and removal-based approaches. Building on this categorization, we present a comprehensive…
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Taxonomy
TopicsAdvanced Steganography and Watermarking Techniques · Chaos-based Image/Signal Encryption · Digital Media Forensic Detection
