Abstract. Mashups empower users to easily combine and connect resources from independent Web-based sources and domains. However, these characteristics also introduce new and amplify existing security and privacy problems. This is especially critical in the emerging field of enterprise Mashups. Despite several contributions in the field of Mashup security the issue of protecting exchanged resources against the Mashupproviding Platform has generally been neglected. In this contribution we address the security challenges of server-side Mashup-providing Platforms with the aim of minimizing the required amount of trust. We achieve this by implementing a privacy-enhancing identity management system into the Mashup-providing Platform using Reverse Identity Based Encryption.

Mashups constitute a new way to integrate existing services into applications. While a large amount of tools based on different approaches can be found, these tools do not explicitly consider non-functional requirements. Therefore, the created mashups are not appropriate to be used as enterprise applications ("enterprise mashups"). The paper describes an approach to integrate service quality prediction into the process of developing mashups. We developed a semi-automated prototype that supports the mashup development process with integrated design time quality prediction. The contributions of this paper are the following: (a) discussion of the requirements to service quality prediction for the enterprise mashups, (b) discussion of its benefits, and (c) proposal of the automated design time service quality prediction approach for the development of enterprise mashups. The implemented prototype, and service quality prediction benefits are demonstrated on a Customer Relationship Management (CRM) scenario

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