Abstract-The emergence of a closer relationship between cloud service providers in the cloud computing market is the inevitable consequence of the computing as utility concept. The closer cooperation creates competitive advantages for providers and users of cloud services as well. Capacities and services can be used in a collaborative and flexible way. Despite the numerous potentials of composite cloud services, trust, policy and privacy are the major challenges resulting from the distributed and flexible data handling. The paper derives requirements and solutions in the field of inter-cloud service communication with a special focus on security. The proposed architecture is evaluated with a sample collaborative business process of inter-cloud service interaction.

Anomaly-based Intrusion Detection Systems (IDS) can be instrumental in detecting attacks on IT systems. For evaluation and training of IDS, data sets containing samples of common security-scenarios are essential. Existing data sets are not sufficient for training modern IDS. This work introduces a new methodology for recording data that is useful in the context of intrusion detection. The approach presented is comprised of a system architecture as well as a novel framework for simulating security-related scenarios.