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Policy-driven Network Simulation: a Resilience Case Study

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Policy-driven Network Simulation: a Resilience Case Study. / Schaeffer-Filho, Alberto; Smith, Paul; Mauthe, Andreas.
Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11. ACM, 2011.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Schaeffer-Filho, A, Smith, P & Mauthe, A 2011, Policy-driven Network Simulation: a Resilience Case Study. in Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11. ACM, 26th ACM Symposium on Applied Computing (SAC), Taichung, Taiwan, 21/03/11. https://doi.org/10.1145/1982185.1982293

APA

Vancouver

Schaeffer-Filho A, Smith P, Mauthe A. Policy-driven Network Simulation: a Resilience Case Study. In Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11. ACM. 2011 doi: 10.1145/1982185.1982293

Author

Schaeffer-Filho, Alberto ; Smith, Paul ; Mauthe, Andreas. / Policy-driven Network Simulation: a Resilience Case Study. Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11. ACM, 2011.

Bibtex

@inproceedings{5cb4d4663f5d4c30af06abff4798e8d1,
title = "Policy-driven Network Simulation: a Resilience Case Study",
abstract = "Networks must be resilient to challenges such as malicious attacks or network overload and adapt their operation in an autonomous manner. Network simulations enable the testing of complex network scenarios (which would be difficult to emulate using actual hardware) in an inexpensive manner. However, it is difficult to evaluate resilience strategies that involve the interplay between a number of detection and remediation mechanisms that must be activated on demand according to events observed in the network (as opposed to hardcoded protocols). In this paper we propose the notion of a policy-based resilience simulator based on the integration of a network simulator and a policy management framework. This permits the evaluation of resilience strategies consisting of mechanisms whose behaviour can be adapted during run-time - e.g. setting flags, dropping connections, triggering or stopping monitoring sessions, etc. We employ policies to specify the required adaptations, which are de-coupled from the hard-wired implementations of the simulated components, according to conditions observed during run-time in the simulation. We can thus observe how real policies affect the operation and the behaviour of simulated components, and then evaluate the effectiveness of resilience strategies before they are deployed in the network infrastructure.",
keywords = "network resilience, resumenet project, sermon project",
author = "Alberto Schaeffer-Filho and Paul Smith and Andreas Mauthe",
year = "2011",
doi = "10.1145/1982185.1982293",
language = "English",
isbn = "978-1-4503-0113-8",
booktitle = "Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11",
publisher = "ACM",
note = "26th ACM Symposium on Applied Computing (SAC) ; Conference date: 21-03-2011 Through 24-03-2011",

}

RIS

TY - GEN

T1 - Policy-driven Network Simulation: a Resilience Case Study

AU - Schaeffer-Filho, Alberto

AU - Smith, Paul

AU - Mauthe, Andreas

PY - 2011

Y1 - 2011

N2 - Networks must be resilient to challenges such as malicious attacks or network overload and adapt their operation in an autonomous manner. Network simulations enable the testing of complex network scenarios (which would be difficult to emulate using actual hardware) in an inexpensive manner. However, it is difficult to evaluate resilience strategies that involve the interplay between a number of detection and remediation mechanisms that must be activated on demand according to events observed in the network (as opposed to hardcoded protocols). In this paper we propose the notion of a policy-based resilience simulator based on the integration of a network simulator and a policy management framework. This permits the evaluation of resilience strategies consisting of mechanisms whose behaviour can be adapted during run-time - e.g. setting flags, dropping connections, triggering or stopping monitoring sessions, etc. We employ policies to specify the required adaptations, which are de-coupled from the hard-wired implementations of the simulated components, according to conditions observed during run-time in the simulation. We can thus observe how real policies affect the operation and the behaviour of simulated components, and then evaluate the effectiveness of resilience strategies before they are deployed in the network infrastructure.

AB - Networks must be resilient to challenges such as malicious attacks or network overload and adapt their operation in an autonomous manner. Network simulations enable the testing of complex network scenarios (which would be difficult to emulate using actual hardware) in an inexpensive manner. However, it is difficult to evaluate resilience strategies that involve the interplay between a number of detection and remediation mechanisms that must be activated on demand according to events observed in the network (as opposed to hardcoded protocols). In this paper we propose the notion of a policy-based resilience simulator based on the integration of a network simulator and a policy management framework. This permits the evaluation of resilience strategies consisting of mechanisms whose behaviour can be adapted during run-time - e.g. setting flags, dropping connections, triggering or stopping monitoring sessions, etc. We employ policies to specify the required adaptations, which are de-coupled from the hard-wired implementations of the simulated components, according to conditions observed during run-time in the simulation. We can thus observe how real policies affect the operation and the behaviour of simulated components, and then evaluate the effectiveness of resilience strategies before they are deployed in the network infrastructure.

KW - network resilience

KW - resumenet project

KW - sermon project

U2 - 10.1145/1982185.1982293

DO - 10.1145/1982185.1982293

M3 - Conference contribution/Paper

SN - 978-1-4503-0113-8

BT - Proceedings of the 2011 ACM Symposium on Applied Computing, SAC '11

PB - ACM

T2 - 26th ACM Symposium on Applied Computing (SAC)

Y2 - 21 March 2011 through 24 March 2011

ER -