On the repudiability of device identification and image integrity verification using sensor pattern noise

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering

Volumn 41 LNICST, Issue , 2010, Pages 19-25

  Li, Chang Tsun ^a   Chang, Chih Yuan ^a   Li, Yue ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Digital device identification; Digital evidence; Digital forensics; Digital investigation; Integrity verification; Sensor pattern noise

Indexed keywords

DIGITAL EVIDENCE; DIGITAL FORENSIC; DIGITAL INVESTIGATION; FORENSIC INVESTIGATION; IMAGE INTEGRITY; INTEGRITY VERIFICATION; ORIGINAL IMAGES; PATTERN NOISE;

COMPUTER CRIME; DIGITAL DEVICES; DIGITAL INSTRUMENTS; ELECTRONIC CRIME COUNTERMEASURES; EQUIPMENT; INVESTMENTS; NETWORK SECURITY; PRINTING MACHINERY; SENSORS;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS;

EID: 84885891736     PISSN: 18678211     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-11530-1_3     Document Type: Conference Paper

References (12)

1. Chen, M., Fridrich, J., Goljan, M., Lukáš, J.: Determining Image Origin and Integrity Using Sensor Noise. IEEE Transactions on Information Forensics and Security 3(1), 74-90 (2008) (Pubitemid 351270074)
2. Gloe, T., Franz, E., Winkler, A.: Forensics for Flatbed Scanners. In: Proc. SPIE, Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, San Jose, CA, January 29-February 1, vol. 6505, pp. 1I-1J (2007)
3. Hsu, Y.F., Chang, S.F.: Image Splicing Detection Using Camera Response Function Consistency and Automatic Segmentation. In: Proc. IEEEInternational Conference on Multimedia and Expo., Beijin, China, July 2-5 (2007)
4. Janesick, J.R.: Scientific Charge-Coupled Devices, vol. PM83. SPIE, Bellingham (2001)
5. Khanna, N., Chiu, G.T.C., Allebach, J.P., Delp, E.J.: Forensic techniques for Classifiying Scanner, Computer Generated and Digital Camera Images. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Las Vegas, USA, 30 March-4 April, pp. 1653-1656 (2008)
6. Lukáš, J., Fridrich, J., Goljan, M.: Digital Camera Identification from Sensor Pattern Noise. IEEE Transactions on Information Forensics and Security 1(2), 205-214 (2006) (Pubitemid 43824631)
7. Popescu, A.C., Farid, H.: Exposing Digital Forgeries by Detecting Traces of Resampling. IEEE Transactions on Signal Processing 53(2), 758-767 (2005) (Pubitemid 40181769)
8. Popescu, A.C., Farid, H.: Exposing Digital Forgeries in Color Filter Array Interpolated Images. IEEE Transactions on Signal Processing 53(10), 3948-3959 (2005) (Pubitemid 41638246)
9. Sankur, B., Celiktutan, O., Avcibas, I.: Blind Identification of Cell Phone Cameras. In: Proc. SPIE, Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, San Jose, CA, January 29-February 1, vol. 6505, pp. 1H-1I (2007)
10. Sorell, M.J.: Digital Camera Source Identification through JPEG Quantisation. In: Li, C.-T. (ed.) Multimedia Forensics and Security. Information Science Publishing, Hershey (2008)
11. Sutcu, Y., Batram, S., Sencar, H.T., Memon, N.: Improvements on Sensor Noise based Source camera Identification. In: Proceeding of IEEE International Conference on Multimedia and Expo., Beijing, China, July 2-5, pp. 24-27 (2007)
12. Swaminathan, A., Wu, M., Liu, K.J.R.: Nonintrusive Component Forensics of Visual Sensors Using Output Images. IEEE Transactions on Information Forensics and Security 2(1), 91-106 (2007)