Skip to Main content Skip to Navigation
Conference papers

Anomaly Traceback using Software Defined Networking

Jérôme François 1 Olivier Festor 1
1 MADYNES - Management of dynamic networks and services
LORIA - NSS - Department of Networks, Systems and Services, Inria Nancy - Grand Est
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.
Document type :
Conference papers
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/hal-01092789
Contributor : Jérôme François Connect in order to contact the contributor
Submitted on : Tuesday, December 9, 2014 - 2:46:04 PM
Last modification on : Saturday, October 16, 2021 - 11:26:07 AM
Long-term archiving on: : Tuesday, March 10, 2015 - 11:50:46 AM

File

wifs14_hal.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01092789, version 1

Collections

Citation

Jérôme François, Olivier Festor. Anomaly Traceback using Software Defined Networking. International Workshop on Information Forensics and Security, IEEE, Dec 2014, Atlanta, United States. ⟨hal-01092789⟩

Share

Metrics

Record views

591

Files downloads

1302