TAILIEUCHUNG - DEFCON: High-Performance Event Processing with Information Security

In finance and healthcare, event processing systems handle sensitive data on behalf of many clients. Guaranteeing information security in such systems is challenging because of their strict performance requirements in terms of high event throughput and low processing latency. We describe DEFCON, an event processing system that enforces constraints on event flows between event processing units. DEFCON uses a combination of static and runtime techniques for achieving light-weight isolation of event flows, while supporting efficient sharing of events. Our experimental evaluation in a financial data processing scenario shows that DEFCON can provide information security with significantly lower processing latency compared to a traditional approach | DEFCON High-Performance Event Processing with Information Security Matteo Migliavacca Department of Computing Imperial College London Brian Shand CBCU Eastern Cancer Registry National Health Service UK loannis Papagiannis Department of Computing Imperial College London Jean Bacon Computer Laboratory University of Cambridge smartflow@ David M. Eyers Computer Laboratory University of Cambridge Peter Pietzuch Department of Computing Imperial College London Abstract In finance and healthcare event processing systems handle sensitive data on behalf of many clients. Guaranteeing information security in such systems is challenging because of their strict performance requirements in terms of high event throughput and low processing latency. We describe DEFCON an event processing system that enforces constraints on event flows between event processing units. DEFCON uses a combination of static and runtime techniques for achieving light-weight isolation of event flows while supporting efficient sharing of events. Our experimental evaluation in a financial data processing scenario shows that DEFCON can provide information security with significantly lower processing latency compared to a traditional approach. 1 Introduction Applications in finance healthcare systems monitoring and pervasive sensing that handle personal or confidential data must provide both strong security guarantees and high performance. Such applications are often implemented as event processing systems in which flows of event messages are transformed by processing units 37 . Preserving information security in event processing without sacrificing performance is an open problem. For example financial data processing systems must support high message throughput and low processing latency. Trading applications handle message volumes peaking in the tens of thousands of events per second during the closing periods on major stock exchanges and this is expected to grow in the future 1 . Low processing

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