DRAŠAR, Martin. Protocol-independent Detection of Dictionary Attacks. In Advances in Communication Networking. Berlin: Springer Berlin Heidelberg. p. 304-309. ISBN 978-3-642-40551-8. 2013.
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Basic information
Original name Protocol-independent Detection of Dictionary Attacks
Name in Czech Detekce slovníkových útoků nezávisla na aplikačním protokolu
Authors DRAŠAR, Martin (203 Czech Republic, guarantor, belonging to the institution).
Edition Berlin, Advances in Communication Networking, p. 304-309, 6 pp. 2013.
Publisher Springer Berlin Heidelberg
Other information
Original language English
Type of outcome Proceedings paper
Field of Study Informatics
Country of publisher Germany
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
RIV identification code RIV/00216224:14610/13:00065726
Organization Ústav výpočetní techniky – Repository – Repository
ISBN 978-3-642-40551-8
ISSN 0302-9743
Keywords in English traffic classes; anomaly detection; network behavior analysis
Links VF20132015031, research and development project.
Changed by Changed by: RNDr. Daniel Jakubík, učo 139797. Changed: 1/9/2020 16:19.
Abstract
Data throughput of current high-speed networks makes it prohibitively expensive to detect attacks using conventional means of deep packet inspection. The network behavior analysis seemed to be a solution, but it lacks in several aspects. The academic research focuses on sophisticated and advanced detection schemes that are, however, often problematic to deploy into the production. In this paper we try different approach and take inspiration from industry practice of using relatively simple but effective solutions. We introduce a model of malicious traffic based on practical experience that can be used to create simple and effective detection methods. This model was used to develop a successful proof-of-concept method for protocol-independent detection of dictionary attacks that is validated with empirical data in this paper.
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protocol_independent_detection_of_dictionary_attacks.pdf Licence Creative Commons  File version 1/9/2020

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