Volume 9 Number 1 (Jan. 2014)
Home > Archive > 2014 > Volume 9 Number 1 (Jan. 2014) >
JSW 2014 Vol.9(1): 11-19 ISSN: 1796-217X
doi: 10.4304/jsw.9.1.11-19

CWAAP: An Authorship Attribution Forensic Platform for Chinese Web Information

Jianbin Ma1, Ying Li2, Guifa Teng1
1College of Information Science and Technology, Agricultural University of Hebei, Baoding, China
2College of Economic and Trade, Agricultural University of Hebei, Baoding, China


Abstract—Illegal web information is common on the Internet. To prevent phenomena of illegal web information from happening, providing effective evidence for court to punish the criminals by means of law is one effective method. In this paper, an authorship attribution platform for Chinese web information, CWAAP, is described. Based on the language characteristics of Chinese web information, lexical features and structural features which can express the author’s writing habit are extracted. Support vector machines (SVM) are used for learning author’s writing features. To test the effectiveness of CWAAP, literature, Blog and BBS datasets are used in the experiments on the platform. Five experiments are performed. Experimental results show that lexical features and structural features are effective. The number of words in training samples should exceed 200 at least. By Information Gain feature selection methods, 800 lexical features can express the authors’ writing style. There is a small difference between the authors’ topics. All the parts of speech reserved are perfect. These results confirm that the platform is effective and feasible for cybercrime forensic.

Index Terms—CWAAP, Authorship attribution, Forensic, Support Vector Machine, Chinese, Web information

[PDF]

Cite: Jianbin Ma, Ying Li, Guifa Teng, "CWAAP: An Authorship Attribution Forensic Platform for Chinese Web Information," Journal of Software vol. 9, no. 1, pp. 11-19, 2014.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Dec 06, 2019 News!

    Vol 14, No 1- Vol 14, No 4 has been indexed by EI (Inspec)   [Click]

  • Jun 22, 2020 News!

    Papers published in JSW Vol 14, No 1- Vol 15 No 4 have been indexed by DBLP     [Click]

  • Feb 19, 2021 News!

    Vol 16, No 3 has been published with online version    [Click]

  • Jan 28, 2021 News!

    [CFP] 2021 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 21-23, 2021   [Click]

  • Feb 19, 2021 News!

    The papers published in Vol 16, No 3 have all received dois from Crossref     [Click]