Towards trustworthy complex event processing

Hua Chai; Wenbing Zhao

doi:10.1109/ICSESS.2014.6933677

Towards trustworthy complex event processing

Hua Chai
, Wenbing Zhao

Electrical and Computer Engineering

Cleveland State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Complex event processing has become an important technology for big data and intelligent computing because it facilitates the creation of actionable, situational knowledge from potentially large amount events in soft realtime. Complex event processing can be instrumental for many mission-critical applications, such as business intelligence, algorithmic stock trading, and intrusion detection. Hence, the servers that carry out complex event processing must be made trustworthy. In this paper, we present a threat analysis on complex event processing systems and describe a set of mechanisms that can be used to control various threats. By exploiting the application semantics for typical event processing operations, we are able to design lightweight mechanisms that incur minimum runtime overhead appropriate for soft realtime computing.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Editors	M. Surendra Prasad Babu, Li Wenzheng, Eric Tsui
Place of Publication	usa
Publisher	IEEE Computer Society
Pages	758-761
Number of pages	4
ISBN (Electronic)	9781479932788
DOIs	https://doi.org/10.1109/ICSESS.2014.6933677
State	Published - Oct 21 2014
Event	2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 - Beijing, China Duration: Jun 27 2014 → Jun 29 2014

Conference

Conference	2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014
Country/Territory	China
City	Beijing
Period	06/27/14 → 06/29/14

Keywords

Big Data
Business Intelligence
Byzantine Fault Tolerance
Complex Event Processing
Dependable Computing
Trust

Access to Document

10.1109/ICSESS.2014.6933677

Cite this

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title = "Towards trustworthy complex event processing",

abstract = "Complex event processing has become an important technology for big data and intelligent computing because it facilitates the creation of actionable, situational knowledge from potentially large amount events in soft realtime. Complex event processing can be instrumental for many mission-critical applications, such as business intelligence, algorithmic stock trading, and intrusion detection. Hence, the servers that carry out complex event processing must be made trustworthy. In this paper, we present a threat analysis on complex event processing systems and describe a set of mechanisms that can be used to control various threats. By exploiting the application semantics for typical event processing operations, we are able to design lightweight mechanisms that incur minimum runtime overhead appropriate for soft realtime computing.",

keywords = "Big Data, Business Intelligence, Byzantine Fault Tolerance, Complex Event Processing, Dependable Computing, Trust",

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doi = "10.1109/ICSESS.2014.6933677",

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booktitle = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",

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note = "2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014 ; Conference date: 27-06-2014 Through 29-06-2014",

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Chai, H & Zhao, W 2014, Towards trustworthy complex event processing. in MS Prasad Babu, L Wenzheng & E Tsui (eds), Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS., 6933677, IEEE Computer Society, usa, pp. 758-761, 2014 5th IEEE International Conference on Software Engineering and Service Science, ICSESS 2014, Beijing, China, 06/27/14. https://doi.org/10.1109/ICSESS.2014.6933677

Towards trustworthy complex event processing. / Chai, Hua; Zhao, Wenbing.
Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS. ed. / M. Surendra Prasad Babu; Li Wenzheng; Eric Tsui. usa: IEEE Computer Society, 2014. p. 758-761 6933677.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Towards trustworthy complex event processing

Abstract

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Keywords

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