Abstract
Genetic-based Approach for Security Policies Negotiation in Web Service Environment
Highlights
The objective of service selection and composition is to select a suitable service for provider and consumer
For the proposed genetic-based security negotiation, we address the tuning of mutation rate and crossover rate control parameters within the addressed problem to get the best fitness function
An efficient genetic-based web service security negotiation approach is proposed. This approachmakes use of genetic algorithm technique to be considered as a negotiation strategy
Summary
The objective of service selection and composition is to select a suitable service for provider and consumer. Web service security includes the identity, the integrity and the encryption of the SOAP message exchanged between the participants (Geuer-Pollmann and Claessens, 2005). El Yamany et al (2009) introduced metadata for web service that provides four levels of web service message security (identification, confidentiality and integrity) which are high, moderate, low and guest. In this model, a metadata model is used to achieve an agreement between web service participants for securing SOA messages. The genetic approach used in multilateral negotiation for finding an acceptable solution In this approach, consumer involved in the negotiation process with different providers. The security negotiation problem has not been considered so far
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