Temporal logics and their applications
Temporal logics and their applications
Proceedings of the fourth international symposium on Integrated network management IV
International Journal of Human-Computer Studies - Special issue: 1969-1999, the 30th anniversary
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Revised Papers from the NSF Workshop on Developing an Infrastructure for Mobile and Wireless Systems
IMWS '01 Revised Papers from the NSF Workshop on Developing an Infrastructure for Mobile and Wireless Systems
Decentralized Event Correlation for Intrusion Detection
ICISC '01 Proceedings of the 4th International Conference Seoul on Information Security and Cryptology
RTAS '98 Proceedings of the Fourth IEEE Real-Time Technology and Applications Symposium
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Dempster-Shafer Theory for Intrusion Detection in Ad Hoc Networks
IEEE Internet Computing
Mythbusters: event stream processing versus complex event processing
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Preprocessor algorithm for network management codebook
ID'99 Proceedings of the 1st conference on Workshop on Intrusion Detection and Network Monitoring - Volume 1
C-NMSP: A High Performance Network Management Service Platform for Complex Event Processing
FGCN '08 Proceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 01
High speed and robust event correlation
IEEE Communications Magazine
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Existing pervasive applications are based on time series data that possess the form of time-ordered series of events. Such applications also embody the need to handle large volumes of unexpected events, often modified on-the-fly, containing conflicting information, and dealing with rapidly changing contexts while producing results with low latency. Correlating events across contextual dimensions holds the key to expanding the capabilities and improving the performance of these applications. In this paper we analyze complex-event semantic correlation that examines epistemic uncertainty in computer networks by using Dempster–Shafer theory to support a high-volume, event-based, in-network and non-deterministic pervasive network management. We consider imprecision and uncertainty when an event is detected and associate a belief parameter with the semantics and the detection of composite events. The approach taps into in-network processing capabilities of pervasive computer networks and can withstand missing or conflicting information gathered from multiple participating entities. In the end, we establish that a lightweight, distributed, large-volume, event-based technique which exploits epistemic uncertainty to correlate events along contextual dimensions provides a successful technique for enabling management of large-scale and pervasive contemporary and future computer networks. Copyright © 2011 John Wiley & Sons, Ltd.