Challenging the security of Content-Based Image Retrieval systems
| Autor: | Teddy Furon, Laurent Amsaleg, Ewa Kijak, Thanh-Toan Do |
|---|---|
| Přispěvatelé: | Multimedia content-based indexing (TEXMEX), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Digital image processing, modeling and communication (TEMICS), IEEE, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique |
| Rok vydání: | 2010 |
| Předmět: |
Information privacy
filtering mechanism Computer science content-based retrieval security flaws 02 engineering and technology Content-based image retrieval Computer security computer.software_genre image retrieval ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Image retrieval data privacy Information retrieval ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION 020207 software engineering ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.3: Security integrity and protection multimedia content piracy content-based image retrieval systems 020201 artificial intelligence & image processing [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing computer Content based retrieval |
| Zdroj: | MMSP MMSP-EEE International Workshop on Multimedia Signal Processing MMSP-EEE International Workshop on Multimedia Signal Processing, Oct 2010, Saint-Malo, France. ⟨10.1109/MMSP.2010.5661993⟩ |
| DOI: | 10.1109/mmsp.2010.5661993 |
| Popis: | International audience; Content-Based Image Retrieval (CBIR) has been recently used as a filtering mechanism against the piracy of multimedia contents. Many publications in the last few years have proposed very robust schemes where pirated contents are detected despite severe modifications. As none of these systems have addressed the piracy problem from a security perspective, it is time to check whether they are secure: Can pirates mount violent attacks against CBIR systems by carefully studying the technology they use? This position paper is an initial analysis of the security flaws of the typical technology blocks used in state-of-the-art CBIR systems. It is so far too early to draw any definitive conclusion about their inherent security, but it motivates and encourages further studies on this topic. |
| Databáze: | OpenAIRE |
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