An efficient packet-level JPEG forensic data collection

Che Jen Hsieh, Wei Cheng Liu, Jung-Shian Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of Future Generation Communication and Networking, FGCN 2007
Pages108-113
Number of pages6
Publication statusPublished - 2007 Dec 1
Event2007 International Conference on Future Generation Communication and Networking, FGCN 2007 - Jeju Island, Korea, Republic of
Duration: 2007 Dec 62007 Dec 8

Publication series

NameProceedings of Future Generation Communication and Networking, FGCN 2007
Volume2

Other

Other2007 International Conference on Future Generation Communication and Networking, FGCN 2007
CountryKorea, Republic of
CityJeju Island
Period07-12-0607-12-08

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Software
  • Electrical and Electronic Engineering

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