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Anomaly Traceback using Software Defined Networking

Identifieur interne : 000850 ( Main/Exploration ); précédent : 000849; suivant : 000851

Anomaly Traceback using Software Defined Networking

Auteurs : Jérôme François [France] ; Olivier Festor [France]

Source :

RBID : Hal:hal-01092789

Abstract

While the threats in Internet are still increasing and evolving (like intra multi-tenant data center attacks), protection and detection mechanisms are not fully accurate. Therefore, forensics is vital for recovering from an attack but also to identify the responsible entities. Therefore, this paper focuses on tracing back to the sources of an anomaly in the network. In this paper, we propose a method leveraging the Software Defined Networking (SDN) paradigm to passively identify switches composing the network path of an anomaly. As SDN technologies tend to be deployed in the next generation of networks including in data centers, they provide a helpful framework to implement our proposal without developing dedicated routers like usual IP traceback techniques. We evaluated our scheme with different network topologies (Internet and data centers) by considering distributed attacks with numerous hosts.

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Le document en format XML

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<region type="old region" nuts="2">Lorraine (région)</region>
</placeName>
<orgName type="university">Université de Lorraine</orgName>
</affiliation>
</author>
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<front>
<div type="abstract" xml:lang="en">While the threats in Internet are still increasing and evolving (like intra multi-tenant data center attacks), protection and detection mechanisms are not fully accurate. Therefore, forensics is vital for recovering from an attack but also to identify the responsible entities. Therefore, this paper focuses on tracing back to the sources of an anomaly in the network. In this paper, we propose a method leveraging the Software Defined Networking (SDN) paradigm to passively identify switches composing the network path of an anomaly. As SDN technologies tend to be deployed in the next generation of networks including in data centers, they provide a helpful framework to implement our proposal without developing dedicated routers like usual IP traceback techniques. We evaluated our scheme with different network topologies (Internet and data centers) by considering distributed attacks with numerous hosts.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<settlement>
<li>Metz</li>
<li>Nancy</li>
</settlement>
<orgName>
<li>Université de Lorraine</li>
</orgName>
</list>
<tree>
<country name="France">
<region name="Grand Est">
<name sortKey="Francois, Jerome" sort="Francois, Jerome" uniqKey="Francois J" first="Jérôme" last="François">Jérôme François</name>
</region>
<name sortKey="Festor, Olivier" sort="Festor, Olivier" uniqKey="Festor O" first="Olivier" last="Festor">Olivier Festor</name>
</country>
</tree>
</affiliations>
</record>

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