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Novel statistical network model: the hyperbolic distribution

Author
LI, J1 ; MANIKOPOULOS, C1
[1] New Jersey Center for Wireless Networking and Internet Security, Department of Electrical and Computer Engineering, New Jersey Institute of Tech., University Heights, Newark, NJ 07102, United States
Source

IEE proceedings. Communications. 2004, Vol 151, Num 6, pp 539-548, 10 p ; ref : 13 ref

ISSN
1350-2425
Scientific domain
Electronics; Computer science; Telecommunications
Publisher
Institution of Electrical Engineers, Stevenage, Herts
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Loi Pareto Loi Weibull Loi lognormale Loi normale Modèle statistique Réseau ordinateur Système détection intrusion Télétrafic Loi hyperbolique
Keyword (en)
Pareto distribution Weibull distribution Lognormal distribution Gaussian distribution Statistical model Computer network Intrusion detection systems Teletraffic
Keyword (es)
Ley Pareto Ley Weibull Ley lognormal Curva Gauss Modelo estadístico Red informática Teletráfico
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04B Telecommunications / 001D04B02 Systems, networks and services of telecommunications / 001D04B02B Teletraffic

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04B Telecommunications / 001D04B03 Teleprocessing networks. Isdn / 001D04B03B Valuation and optimization of characteristics. Simulation

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16416815

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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