Statistical methods for network surveillance
Daniel R. Jeske,
Nathaniel T. Stevens,
Alexander G. Tartakovsky and
James D. Wilson
Applied Stochastic Models in Business and Industry, 2018, vol. 34, issue 4, 425-445
Abstract:
The term network surveillance is defined in general terms and illustrated with many examples. Statistical methodologies that can be used as tools for network surveillance are discussed. Details for 3 illustrative examples that address network security, surveillance for data network failures, and surveillance of email traffic flows are presented. Some open areas of research are identified.
Date: 2018
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1002/asmb.2326
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:apsmbi:v:34:y:2018:i:4:p:425-445
Access Statistics for this article
More articles in Applied Stochastic Models in Business and Industry from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().