Robust Perceptual Hashing of Multimedia Content
Call for Papers
New possibilities of digital imaging and audio open wide prospects in modern imaging science, content management, and secure communications. However, despite the obvious advantages of modern digital technologies and their ongoing progress, these developments carry inherent risks, such as copyright violation, unauthorized prohibited usage and distribution of digital media, high-fidelity efficient counterfeiting of digital and analog content as well as brand products. An urgent need for reliable document, product, and person identification also calls for emerging necessity in robust and secure techniques, capable of withstanding various attacks and at the same time preserving privacy. On the other hand, the issue of security is not necessarily emphasized in several other relevant applications, such as content indexing and retrieval, but such tasks also require reliable and computationally efficient techniques for semantic content management.
Robust perceptual hashing (also termed as fingerprinting in some contexts) methods have been recently proposed as primitives to overcome the above problems and have constituted the core of a challenging and dynamically developing research area.
Although the robustness/invariance aspects of multimedia hashing have received a lot of attention especially in computer vision, the issue of security still remains to be an open and little-studied problem. New information-theoretic and detection-theoretic approaches to secure hashing, as well as carefully designed attacks, should be proposed and investigated. This aspect will potentially have a great impact on security applications, such as content, object, person authentication and identification, tamper evidence, synchronization, forensic analysis, and brand protection.
The main goal of this special issue is to provide original contributions to the theoretic and security aspects of robust perceptual hashing and relevant applications. Some of the related research topics for the submission include, but are not limited to:
- Information-theoretic and detection-theoretic aspects of robust perceptual hashing
- Performance, complexity, and security analysis of robust perceptual hashing
- Practical robust and secure perceptual hashing algorithms for images, video, audio, and text data
- Robust perceptual hashing in key-dependent transform and encrypted domains
- Robust perceptual hashing applications: content, object, person authentication and identification, biometrics, tamper proofing, synchronization, forensic analysis, and brand protection
- Attacks against robust perceptual hashing
Following the policy of the EURASIP Journal on Information Security targeting achieving the highest quality standards with regard to the experimental section of published papers and supporting the principle of scientific reproducibility of the obtained experimental results, the authors are highly encouraged to share the exploited data sets used in the experimental part of papers as well as the source code used to produce the main experimental results with reviewers and users under the conditions defined by the EURASIP Journal on Information Security aims and scope.
Authors should follow the EURASIP Journal on Information Security manuscript format described at the journal site http://www.hindawi.com/journals/is/. Prospective authors should submit an electronic copy of their complete manuscript through the EURASIP Journal on Information Security's Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:
| Manuscript Due | May 1, 2007 |
| First Round of Reviews | August 1, 2007 |
| Publication Date | November 1, 2007 |
Guest Editors
- Kivanc Mihcak, Electrical and Electronic Engineering Department, Bogazici University, Bebek, 34342 Istanbul, Turkey
- Oleksiy Koval, Stochastic Image Processing Group, Department of Computer Sciences, CUI-University of Geneva, 24 rue General-Dufour, 1211 Geneva, Switzerland
- Svyatoslav Voloshynovskiy, Stochastic Image Processing Group, Department of Computer Sciences, CUI-University of Geneva, 24 rue General-Dufour, 1211 Geneva, Switzerland