Towards Real-Time Intrusion Detection for NetFlow and IPFIX
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F13%3APU107068" target="_blank" >RIV/00216305:26230/13:PU107068 - isvavai.cz</a>
Výsledek na webu
<a href="http://www.cnsm-conf.org/2013/documents/papers/CNSM/p227-hofstede.pdf" target="_blank" >http://www.cnsm-conf.org/2013/documents/papers/CNSM/p227-hofstede.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Towards Real-Time Intrusion Detection for NetFlow and IPFIX
Popis výsledku v původním jazyce
DDoS attacks bring serious economic and technical damage to networks and enterprises. Timely detection and mitigation are therefore of great importance. However, when flow monitoring systems are used for intrusion detection, as it is often the case in campus, enterprise and backbone networks, timely data analysis is constrained by the architecture of NetFlow and IPFIX. In their current architecture, the analysis is performed after certain timeouts, which generally delays the intrusion detection for several minutes. This paper presents a functional extension for both NetFlow and IPFIX flow exporters, to allow for timely intrusion detection and mitigation of large flooding attacks. The contribution of this paper is threefold. First, we integrate a lightweight intrusion detection module into a flow exporter, which moves detection closer to the traffic observation point. Second, our approach mitigates attacks in near real-time by instructing firewalls to filter malicious traffic. Third, we filter flow data of malicious traffic to prevent flow collectors from overload. We validate our approach by means of a prototype that has been deployed on a backbone link of the Czech national research and education network CESNET.
Název v anglickém jazyce
Towards Real-Time Intrusion Detection for NetFlow and IPFIX
Popis výsledku anglicky
DDoS attacks bring serious economic and technical damage to networks and enterprises. Timely detection and mitigation are therefore of great importance. However, when flow monitoring systems are used for intrusion detection, as it is often the case in campus, enterprise and backbone networks, timely data analysis is constrained by the architecture of NetFlow and IPFIX. In their current architecture, the analysis is performed after certain timeouts, which generally delays the intrusion detection for several minutes. This paper presents a functional extension for both NetFlow and IPFIX flow exporters, to allow for timely intrusion detection and mitigation of large flooding attacks. The contribution of this paper is threefold. First, we integrate a lightweight intrusion detection module into a flow exporter, which moves detection closer to the traffic observation point. Second, our approach mitigates attacks in near real-time by instructing firewalls to filter malicious traffic. Third, we filter flow data of malicious traffic to prevent flow collectors from overload. We validate our approach by means of a prototype that has been deployed on a backbone link of the Czech national research and education network CESNET.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
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)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 9th International Conference on Network and Service Management
ISBN
978-3-901882-53-1
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
1-6
Název nakladatele
International Federation for Information Processing
Místo vydání
Zürich
Místo konání akce
Zürich
Datum konání akce
14. 10. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000345853200039