Application of the JDL data fusion process model for cyber security

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

24 Scopus citations

Abstract

A number of cyber security technologies have proposed the use of data fusion to enhance the defensive capabilities of the network and aid in the development of situational awareness for the security analyst. While there have been advances in fusion technologies and the application of fusion in intrusion detection systems (IDSs), in particular, additional progress can be made by gaining a better understanding of a variety of data fusion processes and applying them to the cyber security application domain. This research explores the underlying processes identified in the Joint Directors of Laboratories (JDL) data fusion process model and further describes them in a cyber security context.

Original languageEnglish (US)
Title of host publicationMultisensor, Multisource Information Fusion
Subtitle of host publicationArchitectures, Algorithms, and Applications 2010
DOIs
Publication statusPublished - Jul 23 2010
EventMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 - Orlando, FL, United States
Duration: Apr 7 2010Apr 8 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7710
ISSN (Print)0277-786X

Other

OtherMultisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010
CountryUnited States
CityOrlando, FL
Period4/7/104/8/10

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All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Giacobe, N. A. (2010). Application of the JDL data fusion process model for cyber security. In Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2010 [77100R] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 7710). https://doi.org/10.1117/12.850275