Protocol Analysis in Intrusion Detection Using Decision Tree
Identifieur interne : 006661 ( Main/Exploration ); précédent : 006660; suivant : 006662Protocol Analysis in Intrusion Detection Using Decision Tree
Auteurs : Tarek Abbes [France] ; Adel Bouhoula ; Michaël Rusinowitch [France]Source :
Descripteurs français
Abstract
Network based intrusion detection are the most deployed IDS. They frequently rely on signature matching detection method and focus on the security of low level network protocols. Because of the large number of false positives from one side, and the incapacity to detect some attack types from another side, IDS must allow more interest to the monitoring of application level protocols. We propose in this paper a combination of pattern matching and protocol analysis approaches. While the first method of detection relies on a multipattern matching strategy, the second one benefits from an efficient decision tree adaptative to the network traffic characteristics.
Url:
Affiliations:
- France
- Franche-Comté, Grand Est, Lorraine (région)
- Belfort, Besançon, Nancy
- Institut national polytechnique de Lorraine, Université Nancy 2, Université de Bourgogne Franche-Comté, Université de Franche-Comté, Université de Lorraine, Université de technologie de Belfort-Montbéliard
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Le document en format XML
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type="direct"><org type="laboratory" xml:id="struct-2496" status="OLD"><orgName>INRIA Lorraine</orgName><desc><address><addrLine>615 rue du Jardin Botanique 54600 Villers-lès-Nancy</addrLine><country key="FR"></country></address><ref type="url">http://www.inria.fr/centre-de-recherche-inria/nancy-grand-est</ref></desc><listRelation><relation active="#struct-300009" type="direct"></relation></listRelation></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Université Nancy 2</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city">Nancy</settlement><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region></placeName><orgName type="university">Institut national polytechnique de Lorraine</orgName><orgName type="institution" wicri:auto="newGroup">Université de Lorraine</orgName><placeName><settlement type="city" wicri:auto="siege">Besançon</settlement><region type="region" nuts="2">Franche-Comté</region></placeName><orgName type="university">Université de Franche-Comté</orgName><orgName type="institution" wicri:auto="newGroup">Université de Bourgogne Franche-Comté</orgName><placeName><settlement type="city" wicri:auto="siege">Belfort</settlement><region type="region" nuts="2">Franche-Comté</region></placeName><orgName type="university">Université de technologie de Belfort-Montbéliard</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="fr"><term>analyse protocolaite</term><term>détection d'intrusions</term><term>intrusion detection</term><term>protocal analysis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Network based intrusion detection are the most deployed IDS. They frequently rely on signature matching detection method and focus on the security of low level network protocols. Because of the large number of false positives from one side, and the incapacity to detect some attack types from another side, IDS must allow more interest to the monitoring of application level protocols. We propose in this paper a combination of pattern matching and protocol analysis approaches. While the first method of detection relies on a multipattern matching strategy, the second one benefits from an efficient decision tree adaptative to the network traffic characteristics.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Franche-Comté</li><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Belfort</li><li>Besançon</li><li>Nancy</li></settlement><orgName><li>Institut national polytechnique de Lorraine</li><li>Université Nancy 2</li><li>Université de Bourgogne Franche-Comté</li><li>Université de Franche-Comté</li><li>Université de Lorraine</li><li>Université de technologie de Belfort-Montbéliard</li></orgName></list><tree><noCountry><name sortKey="Bouhoula, Adel" sort="Bouhoula, Adel" uniqKey="Bouhoula A" first="Adel" last="Bouhoula">Adel Bouhoula</name></noCountry><country name="France"><region name="Grand Est"><name sortKey="Abbes, Tarek" sort="Abbes, Tarek" uniqKey="Abbes T" first="Tarek" last="Abbes">Tarek Abbes</name></region><name sortKey="Rusinowitch, Michael" sort="Rusinowitch, Michael" uniqKey="Rusinowitch M" first="Michaël" last="Rusinowitch">Michaël Rusinowitch</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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