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Information Forensics: An Overview of the First Decade
Open accessAbstract
In recent decades, we have witnessed the evolution of information technologies from the development of VLSI technologies, to communication and networking infrastructure, to the standardization of multimedia compression and coding schemes, to effective multimedia content search and retrieval. As a result, multimedia devices and digital content have become ubiquitous. This path of technological evolution has naturally led to a critical issue that must be addressed next, namely, to ensure that content, devices, and intellectual property are being used by authorized users for legitimate purposes, and to be able to forensically prove with high confidence when otherwise. When security is compromised, intellectual rights are violated, or authenticity is forged, forensic methodologies and tools are employed to reconstruct what has happened to digital content in order to answer who has done what, when, where, and how. The goal of this paper is to provide an overview on what has been done over the last decade in the new and emerging field of information forensics regarding theories, methodologies, state-of-the-art techniques, major applications, and to provide an outlook of the future.
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Metadata
- Authors
- Stamm, M. C., Wu, M., & Liu, K. J. R.
- Affiliations
- University of Maryland, College Park (US)
- Venue
- IEEE Access
- Published
- 2013
- Volume
- 1
- Pages
- 167-200
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2046686077
- Cited by
- 394
- References
- 179
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 20 · 2023: 26 · 2022: 34 · 2021: 36 · 2020: 48 · 2019: 40 · 2018: 54 · 2017: 38 · 2016: 31 · 2015: 23 · 2014: 11 · 2013: 2
- FWCI
- 25.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
- Physical Sciences › Computer Science › Information Systems › Digital and Cyber Forensics
- Keywords
- information forensics, digital forensics, multimedia forensics, intellectual property protection, digital watermarking, digital signatures
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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