Static versus dynamic data information fusion analysis using DDDAS for cyber security trust

Erik Blasch, Youssif Al-Nashif, Salim A Hariri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Information fusion includes signals, features, and decision-level analysis over various types of data including imagery, text, and cyber security detection. With the maturity of data processing, the explosion of big data, and the need for user acceptance; the Dynamic Data-Driven Application System (DDDAS) philosophy fosters insights into the usability of information systems solutions. In this paper, we exp lore a notion of an adaptive adjustment of secure communication trust analysis that seeks a balance between standard static solutions versus dynamic -data driven updates. A use case is provided in determining trust for a cyber security scenario exploring comparisons of Bayesian versus evidential reasoning for dynamic security detection updates. Using the evidential reasoning proportional conflict redistribution (PCR) method, we demonstrate improved trust for dynamically changing detections of denial of service attacks.

Original languageEnglish (US)
Title of host publicationProcedia Computer Science
PublisherElsevier
Pages1299-1313
Number of pages15
Volume29
DOIs
StatePublished - 2014
Event14th Annual International Conference on Computational Science, ICCS 2014 - Cairns, QLD, Australia
Duration: Jun 10 2014Jun 12 2014

Other

Other14th Annual International Conference on Computational Science, ICCS 2014
CountryAustralia
CityCairns, QLD
Period6/10/146/12/14

Fingerprint

Information fusion
Dynamic analysis
Explosions
Information systems

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Blasch, E., Al-Nashif, Y., & Hariri, S. A. (2014). Static versus dynamic data information fusion analysis using DDDAS for cyber security trust. In Procedia Computer Science (Vol. 29, pp. 1299-1313). Elsevier. https://doi.org/10.1016/j.procs.2014.05.117

Static versus dynamic data information fusion analysis using DDDAS for cyber security trust. / Blasch, Erik; Al-Nashif, Youssif; Hariri, Salim A.

Procedia Computer Science. Vol. 29 Elsevier, 2014. p. 1299-1313.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Blasch, E, Al-Nashif, Y & Hariri, SA 2014, Static versus dynamic data information fusion analysis using DDDAS for cyber security trust. in Procedia Computer Science. vol. 29, Elsevier, pp. 1299-1313, 14th Annual International Conference on Computational Science, ICCS 2014, Cairns, QLD, Australia, 6/10/14. https://doi.org/10.1016/j.procs.2014.05.117
Blasch, Erik ; Al-Nashif, Youssif ; Hariri, Salim A. / Static versus dynamic data information fusion analysis using DDDAS for cyber security trust. Procedia Computer Science. Vol. 29 Elsevier, 2014. pp. 1299-1313
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