An efficient packet-level JPEG forensic data collection

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

An efficient packet-level JPEG forensic data collection

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

Institute of Computer and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings of Future Generation Communication and Networking, FGCN 2007
Pages	108-113
Number of pages	6
Publication status	Published - 2007 Dec 1
Event	2007 International Conference on Future Generation Communication and Networking, FGCN 2007 - Jeju Island, Korea, Republic of Duration: 2007 Dec 6 → 2007 Dec 8

Publication series

Name	Proceedings of Future Generation Communication and Networking, FGCN 2007
Volume	2

Other

Other	2007 International Conference on Future Generation Communication and Networking, FGCN 2007
Country/Territory	Korea, Republic of
City	Jeju Island
Period	07-12-06 → 07-12-08

All Science Journal Classification (ASJC) codes

Computer Science Applications
Software
Electrical and Electronic Engineering

Cite this

@inproceedings{f9c77ca0b6504f66bb85b99b01a91aa2,

title = "An efficient packet-level JPEG forensic data collection",

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.",

author = "Hsieh, {Che Jen} and Liu, {Wei Cheng} and Jung-Shian Li",

year = "2007",

month = dec,

day = "1",

language = "English",

isbn = "0769530486",

series = "Proceedings of Future Generation Communication and Networking, FGCN 2007",

pages = "108--113",

booktitle = "Proceedings of Future Generation Communication and Networking, FGCN 2007",

note = "2007 International Conference on Future Generation Communication and Networking, FGCN 2007 ; Conference date: 06-12-2007 Through 08-12-2007",

}

Hsieh, CJ, Liu, WC & Li, J-S 2007, An efficient packet-level JPEG forensic data collection. in Proceedings of Future Generation Communication and Networking, FGCN 2007., 4426213, Proceedings of Future Generation Communication and Networking, FGCN 2007, vol. 2, pp. 108-113, 2007 International Conference on Future Generation Communication and Networking, FGCN 2007, Jeju Island, Korea, Republic of, 07-12-06.

An efficient packet-level JPEG forensic data collection. / Hsieh, Che Jen; Liu, Wei Cheng; Li, Jung-Shian.

Proceedings of Future Generation Communication and Networking, FGCN 2007. 2007. p. 108-113 4426213 (Proceedings of Future Generation Communication and Networking, FGCN 2007; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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.

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BT - Proceedings of Future Generation Communication and Networking, FGCN 2007

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ER -

An efficient packet-level JPEG forensic data collection

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

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