By Topic

Authentication of Online Authorship or Article Based on Hypothesis Testing Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shou Quan ; Coll. of Comput. Sci. & Technol., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China ; Bu Zhan ; Xia Zhengyou

As a result of Internet's anonymity, openness and freedom, there have been two kinds of security problems existing extensively in the online virtual space. They are user's ID theft and article counterfeit that may cause rampant cyber crime and online deception. Therefore, application of authorship or article identification techniques across online message content is increasingly necessary. In this paper, we proposed a feature-based identification method which can automatically identify the authenticity of online authorship or article according to their unique writing style. This technique is a hypothesis testing based method that creates a function words feature set specially tailored towards Chinese online messages. To evaluate the effectiveness of this automatic recognition method, we conducted several experiments on datasets extracted from a Chinese forum web, and statistically analyzed the content of registered uses' post and reply messages. Our experimental results showed that this method has an excellent identification performance.

Published in:

Computational Science and Engineering (CSE), 2011 IEEE 14th International Conference on

Date of Conference:

24-26 Aug. 2011