Research on Genetic Algorithms-Based in Privacy Automated Negotiation

With the development of the web, online privacy abuse issues has become more and more serious; personal privacy information security has become a major focus. The P3P (Platform for Privacy Preferences) proposed by W3C is a method for protecting user privacy, however, it is not flexible enough to meet the needs of the interaction between users and sites, this technology has not received wide spread support. In order to overcome the shortcomings of P3P and achieve flexibility in accommodating the privacy interaction between users and sites, this paper proposes an auto privacy negotiation mechanism, and researches the privacy negotiation model and algorithm. The mechanism uses the Pareto-based genetic algorithms to implement auto privacy negotiation and uses the MATLAB 2009A to carry out the experiments. The results of the experiments showed the algorithm supported bilateral multi-issue automated negotiation, and the negotiation time was very short, thus confirming the feasibility of applying the genetic algorithms to privacy negotiation.