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Title: |
Research Based on Particle Swarm Optimization in Privacy Automated Negotiation |
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Source: |
Asia-Pacific Youth Conference on Communication Technology (APYCCT 2010 E-BOOK)(Part 6 Network Theory and Technology)
(pp 558-562)
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Author(s): |
Li Cai, School of Software, Yunnan University, Kunming 650091, China
Chunjie Zhang, School of Information, Yunnan University, Kunming 650091, China
Hao Li, School of Software, Yunnan University, Kunming 650091, China |
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Abstract: |
Nowadays, more and more people prefer to trade by using the Internet, but this new form of electronic commerce trade has also brought a series of security problems, in order to earn higher profits, some sites abuse of the users privacy information, or even illegal trade their users’ privacy information. To solve the problems of revelation of users’ privacy information, proposed and realized the privacy automated negotiation mechanism based on particle swarm optimization, and used MATLAB to carry on the simulation experiment. The results show that the algorithm not only supports the bilateral and multi-issue negotiations, and the time complexity is controlled in a very short period of time, but also effectively solves the own shortcomings of Platform for Privacy Preferences recommended by W3C, and improves initiative and flexibility of negotiation between users and web sites.
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