Statistical methods for network surveillance

被引：29

作者：

Jeske, Daniel R. ^{[1
]}

Stevens, Nathaniel T. ^{[2
]}

Tartakovsky, Alexander G. ^{[3
,4
]}

Wilson, James D. ^{[2
]}

机构：

[1] Univ Calif Riverside, Dept Stat, Riverside, CA 92521 USA

[2] Univ San Francisco, Dept Math & Stat, San Francisco, CA 94117 USA

[3] Moscow Inst Phys & Technol, Moscow, Russia

[4] AGT StatConsult, Los Angeles, CA USA

来源：

APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY | 2018年 / 34卷 / 04期

关键词：

change point; control charts; dynamic networks; reliability; security; ANOMALY DETECTION; CORRELATED PROCESSES; INTRUSION-DETECTION; COUNT DATA; LIKELIHOOD;

D O I：

10.1002/asmb.2326

中图分类号：

C93 [管理学]; O22 [运筹学];

学科分类号：

070105 ; 12 ; 1201 ; 1202 ; 120202 ;

摘要：

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.

引用

页码：425 / 445

页数：21

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