A Trust Model Award Content Security and Rating Supervision Model

Abstract:

With the rapid expansion of negative information in the Internet, the content rating technology is developed. This paper proposed a rating supervision model based on content rating considering trust model. We firstly analyze the behavior and reputation of network entities from the following dimensions: data dimension, time dimension and application dimension, and then applied artificial neural network to construct the trust model referred to the trust relationship in human society network. At last, we proposed the rating supervision model based on the trust model. It is proved that the rating supervision model can not only meet the standard of PICS, but also take the behavior and reputation of network entities into consideration. As a result, the rating supervision model can provide a variety of security services to enhance the credibility of the information by combination of rating label and network entity reputation.

• Periodical: Advanced Materials Research (Volumes 655-657)
• Pages: 1765-1769
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.655-657.1765
• Online since: January 2013
• Authors: Hong Zou, Tian Wang, Li Hao Wei, Lei Cui
• Keywords: Content Rating, Information Security, Rating Supervision Model, Trust Model

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