caa a22 4500 605447349 CHVBK 20210128100131.0 cr unu---uuuuu 210128e20150701xx s 000 0 eng 10.1007/s11042-013-1837-6 doi (NATIONALLICENCE)springer-10.1007/s11042-013-1837-6 Analysis of errors in exif metadata on mobile devices [Elektronische Daten] [Ana Sandoval Orozco, David Arenas González, Luis García Villalba, Julio Hernández-Castro] Nowadays the number of cameras integrated in mobile phones is growing very fast, making it essential to design new specific forensic analysis techniques aimed towards the pictures created with these devices. Most of these phones automatically add relevant Exif metadata in the process of image acquisition. This metadata, even if it is vulnerable to tampering, can be very helpful for a variety of forensic analysis techniques. That is why the existence of efficient, robust and specialized tools is a necessity. These should allow metadata to be extracted in a consistent, fast and sound way. Besides, metadata extraction must never manipulate the image and it needs to take into account possible departures from the Exif specification, including the insertion of the metadata in the image acquisition process by the makers, as well as any modification, whether malicious or not. This paper will show the multiple anomalies in the Exif specification we have found during our study, which can produce serious problems in classical tools for the extraction of image metadata, including crashes and wrong results, and even interoperability problems among different devices. We will also show some anomalies found in the operation of different well-known forensic tools. Springer Science+Business Media New York, 2014 Camera mobile phones nationallicence Exif metadata nationallicence Forensics analysis nationallicence Sandoval Orozco Ana Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut Arenas González David Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut García Villalba Luis Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut Hernández-Castro Julio School of Computing, Office S129A, University of Kent, Cornwallis South Building, Canterbury CT2 7NF, UK aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4735-4763 1380-7501 74:13<4735 2015 74 11042 https://doi.org/10.1007/s11042-013-1837-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-013-1837-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Sandoval Orozco Ana Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut NATIONALLICENCE 700 1- Arenas González David Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut NATIONALLICENCE 700 1- García Villalba Luis Group of Analysis, Security and Systems (GASS), Department of Software Engineering and Artificial Intelligence (DISIA), School of Computer Science, Office 431, Universidad Complutense de Madrid (UCM), Calle Profesor José García Santesmases s/n, 28040, Ciudad Universitaria, Madrid, Spain aut NATIONALLICENCE 700 1- Hernández-Castro Julio School of Computing, Office S129A, University of Kent, Cornwallis South Building, Canterbury CT2 7NF, UK aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/13(2015-07-01), 4735-4763 1380-7501 74:13<4735 2015 74 11042