A PRNU-based counter-forensic method to manipulate smartphone image source identification techniques
| Autor: | Julio C. Hernandez-Castro, Jocelin Rosales Corripio, Luis Javier Garca Villalba, Ana Lucila Sandoval Orozco |
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| Rok vydání: | 2017 |
| Předmět: |
Computer Networks and Communications
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform 020207 software engineering 02 engineering and technology Computer security computer.software_genre Image (mathematics) Digital image Identification (information) Wavelet Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Identity (object-oriented programming) 020201 artificial intelligence & image processing Computer vision Noise (video) Artificial intelligence business computer Mobile device Software |
| Zdroj: | Future Generation Computer Systems. 76:418-427 |
| ISSN: | 0167-739X |
| DOI: | 10.1016/j.future.2016.11.007 |
| Popis: | The increased diffusion of digital images generated by mobile devices through social networks, personal and professional communications, etc. is self-evident. This creates potential problems because some of these images may be used as supporting evidence for different criminal cases. In this paper, algorithms are proposed based on sensor noise and wavelet transforms which can alter the information which is usually employed to find the source of an image, and forge it so that it could point to a different, unrelated device. In the state of art we will show that there are already some algorithms capable of carrying out these manipulations, but they generally need much more and more complex data than our proposal. They also generally need physical access to the camera whose generated images you want to tamper. Our proposal algorithm to destruct the image identifiable data, only needs the picture which will be anonymized. Also, our proposal to forge the image identifiable data only needs a set of photos from the attacker camera, and the picture to be tampered. In particular, it does not need access to the camera that will be falsely linked to the picture. These scenarios are the most common and realistic. The algorithms proposed will help to strengthen existing techniques and develop new forensic approaches for mobile image source identification that will be more robust against attacks. This research presents a Counter-Forensic method based on sensor noise and wavelet transform.The paper proposes two algorithms, one to destroy of image identity and another to forge of a given image identity.The aim of destroy of image identity algorithm is anonymize an image.The aim of forge of a given image identity algorithm is forgery the source of acquisition of an image. |
| Databáze: | OpenAIRE |
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