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Statistical methods for network surveillance
Author(s) -
Jeske Daniel R.,
Stevens Nathaniel T.,
Tartakovsky Alexander G.,
Wilson James D.
Publication year - 2018
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.2326
Subject(s) - computer science , term (time) , network security , data mining , computer security , data science , quantum mechanics , physics
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.