Presentation of the InVID technologies for image forensics analysis
•
0 gefällt mir•6,038 views
Presentation of the challenges related to the detection of manipulation or tampering of digital images, and description of the funtionalities offered by the REVEAL Media Verificaiton Assistant that is integrated in the InVID Verification Plugin.
Empfohlen
Empfohlen
Weitere ähnliche Inhalte
Ähnlich wie Presentation of the InVID technologies for image forensics analysis
Ähnlich wie Presentation of the InVID technologies for image forensics analysis (20)
Mehr von InVID Project
Mehr von InVID Project (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Presentation of the InVID technologies for image forensics analysis
- 1. Markos Zampoglou Postdoctoral Research Associate, CERTH Workshop on Content Verification Tools June 6, 2018 @ Thessaloniki, Greece DETECTING MALICIOUS TAMPERING IN DIGITAL IMAGES
- 2. Image forgeries in the news https://thelede.blogs.nytimes.com/2008/07/10/in-an-iranian-image-a-missile- too-many/
- 3. Image forensics Lens Optical filter CFA pattern Real-world scene R G G B Imaging sensor (e.g. CCD) CFA interpolat. In-camera SW processing In-camera JPEG compress. DIGITAL CAMERA Digital image Tampered digital image Out of camera SW processing Piva, A. (2013). An overview on image forensics. ISRN Signal Processing, 2013.
- 4. Example: JPEG Ghosts Farid, H. (2009). Exposing digital forgeries from JPEG ghosts. IEEE transactions on information forensics and security, 4(1), 154-160. • JPEG compression • DCT coefficient quantization • Tampered areas: different quantization coefficients • Recompression & subtraction highlights differences • JPEG Ghosts
- 5. Tampering localization algorithms Tampering localization Splicing localization Copy-move detection Block matching Keypoint matching High-frequency noise CFA patterns JPEG compression traces Filtering and analysis Camera- specific (PRNU) Quantization artefacts Compression grid misalignment JPEG ghosts, ELA
- 7. REVEAL Media Verification Assistant
- 8. Features • Tampering localization maps • “Magnifying glass” • GPS localization • Thumbnails • Metadata • Tutorials and examples • Export PDF
- 9. Using the tools 1. Magnifying glass 2. Tampering localization • Do more than one maps agree? • Does the highlighted region correspond to a specific object/part? • Is this part suspicious/interesting? 3. Reverse search • Is this the best version for analysis?
- 11. The pitfalls of image forensics “MH17 – Forensic Analysis of Satellite Images Released by the Russian Ministry of Defence” • A report by Bellingcat1 using ELA to prove that the Russian MoD had forged the images • N. Krawetz: Bellingcat “misinterpreted the results”2 1https://www.bellingcat.com 2http://www.hackerfactor.com/blog/index.php?/archives/676-Continuing-Education.html
- 12. The future of image forensics https://www.technologyreview.com/s/610784/this-algorithm- automatically-spots-face-swaps-in-videos/
- 13. Acknowledgements • Dr. Chryssanthi Iakovidou (CAGI algorithm) • Olga Papadopoulou (back-end development) • Lazaros Apostolidis (front-end development) • Dr. Symeon Papadopoulos (Overview & design) • Ruben Bouwmeester, DW (Design and evaluation) • Yiannis Kompatsiaris (Overview)
- 14. Thank you! http://reveal-mklab.iti.gr/reveal Get in touch! Markos Zampoglou markzampoglou@iti.gr Symeon Papadopoulos papadop@iti.gr Olga Papadopoulou olgapapa@iti.gr