Analyzing Traffic Features of Common Standalone DoS Attack Tools

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00084111" target="_blank" >RIV/00216224:14330/15:00084111 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-24126-5_2" target="_blank" >http://dx.doi.org/10.1007/978-3-319-24126-5_2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-24126-5_2" target="_blank" >10.1007/978-3-319-24126-5_2</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Analyzing Traffic Features of Common Standalone DoS Attack Tools

Popis výsledku v původním jazyce

Research on denial of service (DoS) attack detection is complicated due to scarcity of reliable, widely available and representative contemporary input data. Efficiency of newly proposed DoS detection methods is continually verified with obsolete attacksamples and tools. To address this issue, we provide a comparative analysis of traffic features of DoS attacks that were generated by state-of-the-art standalone DoS attack tools. We provide a classification of different attack traffic features, including utilized evasion techniques and encountered anomalies. We also propose a new research direction for the detection of DoS attacks at the source end, based on repeated attack patterns recognition.

Název v anglickém jazyce

Analyzing Traffic Features of Common Standalone DoS Attack Tools

Popis výsledku anglicky

Research on denial of service (DoS) attack detection is complicated due to scarcity of reliable, widely available and representative contemporary input data. Efficiency of newly proposed DoS detection methods is continually verified with obsolete attacksamples and tools. To address this issue, we provide a comparative analysis of traffic features of DoS attacks that were generated by state-of-the-art standalone DoS attack tools. We provide a classification of different attack traffic features, including utilized evasion techniques and encountered anomalies. We also propose a new research direction for the detection of DoS attacks at the source end, based on repeated attack patterns recognition.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/LA09016" target="_blank" >LA09016: Účast ČR v European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Security, Privacy, and Applied Cryptography Engineering - 5th International Conference, SPACE 2015, Proceedings

ISBN

9783319241258

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

20

Strana od-do

21-40

Název nakladatele

Springer

Místo vydání

Switzerland

Místo konání akce

Jaipur, India

Datum konání akce

1. 1. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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