TY - GEN
T1 - An efficient packet-level JPEG forensic data collection
AU - Hsieh, Che Jen
AU - Liu, Wei Cheng
AU - Li, Jung-Shian
PY - 2007/12/1
Y1 - 2007/12/1
N2 - Recently, multimedia transmission in the Internet is popular. Digital files are widespread. However, digital distribution may suffer problems including illegal duplication, piracy and pornographic inundation. To avoid disseminating unlawful JPEG images and to control the evidences of illegal distribution are important for digital forensic. In this paper, a novel digital feature retrieval mechanism for JPEG image files is proposed. The scheme could extract JPEG binary data on the fly at the packet level using a DC feature to search for suspicious files. According to the experiment results, our method could reduce the storage volume of JPEG image files and retrieve effective features quickly from the network.
AB - Recently, multimedia transmission in the Internet is popular. Digital files are widespread. However, digital distribution may suffer problems including illegal duplication, piracy and pornographic inundation. To avoid disseminating unlawful JPEG images and to control the evidences of illegal distribution are important for digital forensic. In this paper, a novel digital feature retrieval mechanism for JPEG image files is proposed. The scheme could extract JPEG binary data on the fly at the packet level using a DC feature to search for suspicious files. According to the experiment results, our method could reduce the storage volume of JPEG image files and retrieve effective features quickly from the network.
UR - http://www.scopus.com/inward/record.url?scp=52249097876&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52249097876&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:52249097876
SN - 0769530486
SN - 9780769530482
T3 - Proceedings of Future Generation Communication and Networking, FGCN 2007
SP - 108
EP - 113
BT - Proceedings of Future Generation Communication and Networking, FGCN 2007
T2 - 2007 International Conference on Future Generation Communication and Networking, FGCN 2007
Y2 - 6 December 2007 through 8 December 2007
ER -