A Fingerprinting System Calls Approach for Intrusion Detection in a Cloud Environment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F12%3A86084780" target="_blank" >RIV/61989100:27740/12:86084780 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1109/CASoN.2012.6412420" target="_blank" >http://dx.doi.org/10.1109/CASoN.2012.6412420</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CASoN.2012.6412420" target="_blank" >10.1109/CASoN.2012.6412420</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Fingerprinting System Calls Approach for Intrusion Detection in a Cloud Environment

Popis výsledku v původním jazyce

Cloud Computing envisioned as the next generation architecture for IT enterprises, has proliferated itself due to the advantages it provides. Cloud Computing provides solutions for carrying out efficient, scalable and low cost computing. Due to the distributed nature of cloud based system, it is vulnerable to a large category of attacks out of which VM based attacks are most common. To counter these attacks we need Intrusion Detection System (IDS), which is used to monitor network traffic and policy violations from unauthorized users. Anomaly Detection is a technique of Intrusion Detection, which is used to detect intrusions by monitoring system activity and finding out patterns that do not comply with the normal behavior. In this paper an approach foranomaly detection in cloud environment is presented, which is based upon analysis of system call sequences generated by the virtual machines to the hypervisor. Our proposed implementation prevents malicious VM users to modify well known

Název v anglickém jazyce

A Fingerprinting System Calls Approach for Intrusion Detection in a Cloud Environment

Popis výsledku anglicky

Cloud Computing envisioned as the next generation architecture for IT enterprises, has proliferated itself due to the advantages it provides. Cloud Computing provides solutions for carrying out efficient, scalable and low cost computing. Due to the distributed nature of cloud based system, it is vulnerable to a large category of attacks out of which VM based attacks are most common. To counter these attacks we need Intrusion Detection System (IDS), which is used to monitor network traffic and policy violations from unauthorized users. Anomaly Detection is a technique of Intrusion Detection, which is used to detect intrusions by monitoring system activity and finding out patterns that do not comply with the normal behavior. In this paper an approach foranomaly detection in cloud environment is presented, which is based upon analysis of system call sequences generated by the virtual machines to the hypervisor. Our proposed implementation prevents malicious VM users to modify well known

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proceedings of the 2012 4th International Conference on Computational Aspects of Social Networks, CASoN 2012 : 21 ? 23 November 2012, S?o Carlos, Brazil

ISBN

978-1-4673-4793-8

ISSN

—

e-ISSN

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Počet stran výsledku

6

Strana od-do

309-314

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Sao Carlos

Datum konání akce

21. 11. 2012

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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