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Abstract-Nowadays web service privacy gets high attention especially in the fields of finance and medical. Privacy preserves access rights to personally identifiable information. Different models have been proposed for enforcing privacy in web service environment. Getting a privacy level for protecting data transferred between consumer and provider in a web service environment is still a problem. Negotiation helps participants to get a privacy level. This paper extends web service security negotiation framework in a multilateral web service environment for negotiating privacy. A repaired genetic negotiation framework used to conduct the privacy negotiation. In privacy negotiation, the negotiation communication structure uses a broker for negotiation; where each participant sends its attributes to the broker. Negotiation using this communication structure decreases the number of messages transferred so less execution time. The genetic-based Negotiation is compared to traditional time-based negotiation. Through experimental results, genetic based negotiation outperforms traditional time-based negotiation.

Nowadays the trends of web is to beco me a collection of services that interoperate through the Internet. The first step towards this inter-operation is finding services that meet requester requirements; which is called a service discovery. Service discovery matches functional and non-functional properties of the requester with the p rovider. In th is paper, an enhanced matching algorith m o f Web Service Security Po licy (WS-SP) is proposed to perform requirement-capability match making of a consumer and a provider. Web service security policy specifies the security requirements or capabilities of a web service participant (a provider or a consumer). Security requirement or a capability of a part icipant is one of the non-functional properties of a web service. The security addressed through this paper is the integrity and the confidentiality of web service SOA message transmitted between participants. The enhanced matching algorith m states simp le policy and co mp lex policy cases of the web service security as a non-functional attribute. A generalization matching algorith m is introduced to get the best-matched web service provider fro m a list of available providers for serving the consumer.

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Web services is an important in the future internet especially in the field of business. The secure interaction between requester and the provider of the service is one of the main problems. This secure interaction requires negotiation and an agreement about their security requirements. In this study, a genetic-based approach is proposed for SOAP message security negotiation. The proposed approach covers the negotiation problem as a search space of solutions for different participants. Various security levels are proposed. These levels include three key security objects identity, integrity and confidentiality of SOAP messages. The proposed Genetic-based security negotiation approach is compared with traditional time-based negotiation and the adapted traditional time-based negotiation approaches. A telemarketing case study is addressed through experimental results. Besides, the execution time and message complexity of the three approaches are provided. Experimental results show the efficiency and effectiveness of the proposed approach compared to other two approaches.