Tradeoffs for web communications fast analysis

Olivier Paul; Jean Etienne Kiba

doi:10.1007/11422778_132

Tradeoffs for web communications fast analysis

Olivier Paul
, Jean Etienne Kiba

GET/INT LOR Department

Résultats de recherche: Contribution à un journal › Article de conférence › Revue par des pairs

Résumé

In this paper, we explore a novel approach to perform a probabilistic fast analysis of web communications. Instead of relying on pattern matching algorithms, we look at simple network and transport level parameters and try to infer what happens at the application level. Our approach provides the ability to perform a trade-off between analysis speed and precision that could prove useful for some traffic analysis applications.

langue originale	Anglais
Pages (de - à)	1435-1439
Nombre de pages	5
journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3462
Les DOIs	https://doi.org/10.1007/11422778_132
état	Publié - 1 janv. 2005
Modification externe	Oui
Evénement	4th International IFIP-TC6 Networking Conference: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems, NETWORKING 2005 - Waterloo, Ont., Canada Durée: 2 mai 2005 → 6 mai 2005

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10.1007/11422778_132

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title = "Tradeoffs for web communications fast analysis",

abstract = "In this paper, we explore a novel approach to perform a probabilistic fast analysis of web communications. Instead of relying on pattern matching algorithms, we look at simple network and transport level parameters and try to infer what happens at the application level. Our approach provides the ability to perform a trade-off between analysis speed and precision that could prove useful for some traffic analysis applications.",

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AB - In this paper, we explore a novel approach to perform a probabilistic fast analysis of web communications. Instead of relying on pattern matching algorithms, we look at simple network and transport level parameters and try to infer what happens at the application level. Our approach provides the ability to perform a trade-off between analysis speed and precision that could prove useful for some traffic analysis applications.

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DO - 10.1007/11422778_132

M3 - Conference article

AN - SCOPUS:24944534143

SN - 0302-9743

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SP - 1435

EP - 1439

JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Y2 - 2 May 2005 through 6 May 2005

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Tradeoffs for web communications fast analysis

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