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Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. / Marnerides, Angelos; Pezaros, Dimitrios P.; Hutchison, David.
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference. New York: ACM, 2008. 51.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Marnerides, A, Pezaros, DP & Hutchison, D 2008, Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. in CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference., 51, ACM, New York, ACM SIGCOMM CoNEXT Conference Student Workshop 2008, Madrid, Spain, 9/12/08. https://doi.org/10.1145/1544012.1544063

APA

Marnerides, A., Pezaros, D. P., & Hutchison, D. (2008). Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. In CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference Article 51 ACM. https://doi.org/10.1145/1544012.1544063

Vancouver

Marnerides A, Pezaros DP, Hutchison D. Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. In CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference. New York: ACM. 2008. 51 doi: 10.1145/1544012.1544063

Author

Marnerides, Angelos ; Pezaros, Dimitrios P. ; Hutchison, David. / Detection and mitigation of abnormal traffic behaviour in autonomic networked environments. CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference. New York : ACM, 2008.

Bibtex

@inproceedings{0a151fcf812647dab4fb2399fd563e75,
title = "Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.",
abstract = "Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.",
keywords = "networkresilience, anaproject",
author = "Angelos Marnerides and Pezaros, {Dimitrios P.} and David Hutchison",
year = "2008",
month = dec,
day = "9",
doi = "10.1145/1544012.1544063",
language = "English",
isbn = "9781605582108",
booktitle = "CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference",
publisher = "ACM",
note = "ACM SIGCOMM CoNEXT Conference Student Workshop 2008 ; Conference date: 09-12-2008",

}

RIS

TY - GEN

T1 - Detection and mitigation of abnormal traffic behaviour in autonomic networked environments.

AU - Marnerides, Angelos

AU - Pezaros, Dimitrios P.

AU - Hutchison, David

PY - 2008/12/9

Y1 - 2008/12/9

N2 - Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.

AB - Autonomic network environments are required to be resilient. Resilience is defined as the ability for a network to provide and maintain an acceptable level of service in the face of various challenges to normal operation [1]. Traffic abnormalities are a great challenge and it is vital for any network to be supported by resilient mechanisms in order to detect and mitigate such events. In this document we present our measurement-based resilience architecture and we argue that the correct combination of already proposed theoretical methodologies and mechanisms present in our architecture compose a powerful defence mechanism that satisfies autonomic properties such as self-protection and self-optimization. In addition we refer to our intentions of testing our proposed architecture within the ANA project [2] in order to justify our hypothesis.

KW - networkresilience

KW - anaproject

U2 - 10.1145/1544012.1544063

DO - 10.1145/1544012.1544063

M3 - Conference contribution/Paper

SN - 9781605582108

BT - CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference

PB - ACM

CY - New York

T2 - ACM SIGCOMM CoNEXT Conference Student Workshop 2008

Y2 - 9 December 2008

ER -