TERA: topic-based event routing for peer-to-peer architectures
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Araneola: A scalable reliable multicast system for dynamic environments
Journal of Parallel and Distributed Computing
Investigating the Existence and the Regularity of Logarithmic Harary Graphs
SRDS '08 Proceedings of the 2008 Symposium on Reliable Distributed Systems
Proceedings of the First International Workshop on Data Dissemination for Large Scale Complex Critical Infrastructures
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Recent evidence of successful Internet-based attacks and frauds involving financial institutions highlights the inadequacy of the existing protection mechanisms, in which each instutition implements its own isolated monitoring and reaction strategy. Analyzing on-line activity and detecting attacks on a large scale is an open issue due to the huge amounts of events that should be collected and processed. In this paper, we propose a large-scale distributed event processing system, called intelligence cloud, allowing the financial entities to participate in a widely distributed monitoring and detection effort through the exchange and processing of information locally available at each participating site. We expect this approach to be able to handle large amounts of events arriving at high rates from multiple domains of the financial scenario. We describe a framework based on the intelligence cloud where each participant can receive early alerts enabling them to deploy proactive countermeasures and mitigation strategies.