Garcia Cordero, Carlos ; Vasilomanolakis, Emmanouil ; Milanov, Nikolay ; Koch, Christian ; Hausheer, David ; Mühlhäuser, Max (2015)
ID2T: A DIY Dataset Creation Toolkit for Intrusion Detection Systems.
IEEE Conference on Communications and Network Security (CNS 2015). Florence, Italy (28.-30. Sept.)
doi: 10.1109/CNS.2015.7346912
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Intrusion Detection Systems (IDSs) are an important defense tool against the sophisticated and ever-growing network attacks. These systems need to be evaluated against high quality datasets for correctly assessing their usefulness and comparing their performance. We present an Intrusion Detection Dataset Toolkit (ID2T) for the creation of labeled datasets containing user defined synthetic attacks. The architecture of the toolkit is provided for examination and the example of an injected attack, in real network traffic, is visualized and analyzed. We further discuss the ability of the toolkit of creating realistic synthetic attacks of high quality and low bias.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2015 |
| Autor(en): | Garcia Cordero, Carlos ; Vasilomanolakis, Emmanouil ; Milanov, Nikolay ; Koch, Christian ; Hausheer, David ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | ID2T: A DIY Dataset Creation Toolkit for Intrusion Detection Systems |
| Sprache: | Englisch |
| Publikationsjahr: | September 2015 |
| Veranstaltungstitel: | IEEE Conference on Communications and Network Security (CNS 2015) |
| Veranstaltungsort: | Florence, Italy |
| Veranstaltungsdatum: | 28.-30. Sept. |
| DOI: | 10.1109/CNS.2015.7346912 |
| URL / URN: | https://ieeexplore.ieee.org/document/7346912 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Intrusion Detection Systems (IDSs) are an important defense tool against the sophisticated and ever-growing network attacks. These systems need to be evaluated against high quality datasets for correctly assessing their usefulness and comparing their performance. We present an Intrusion Detection Dataset Toolkit (ID2T) for the creation of labeled datasets containing user defined synthetic attacks. The architecture of the toolkit is provided for examination and the example of an injected attack, in real network traffic, is visualized and analyzed. We further discuss the ability of the toolkit of creating realistic synthetic attacks of high quality and low bias. |
| Freie Schlagworte: | - SSI - Area Secure Smart Infrastructures;Secure Services |
| ID-Nummer: | TUD-CS-2015-1184 |
| Zusätzliche Informationen: | FG Entwurfsmethodik für P2P Systeme |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Entwurfsmethodik für Peer-to-Peer Systeme 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt |
| Hinterlegungsdatum: | 19 Apr 2016 13:48 |
| Letzte Änderung: | 14 Jun 2021 06:14 |
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