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Towards Secure and Self-Diagnosable Optical Networks
KTH, School of Electrical Engineering and Computer Science (EECS), Communication Systems, CoS, Optical Network Laboratory (ON Lab).ORCID iD: 0000-0001-5600-3700
2018 (English)In: Proceedings of the 2018 Photonics in Switching and Computing, PSC 2018, Institute of Electrical and Electronics Engineers Inc. , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Given the pivotal role of optical networks in supporting critical societal services, their robustness to deliberate attacks targeting disruption at the physical layer requires advanced approaches for security assurance, diagnostics and response. This paper analyzes the necessary advancements in optical network security needed to achieve secure and self-diagnosable systems.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2018.
Keywords [en]
attack detection, attack recovery, attack signature, attack-aware network design, optical network security, security diagnostics, Fiber optic networks, Network layers, Photonics, Network design, Physical layers, Security assurance, Network security
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-262419DOI: 10.1109/PS.2018.8751355ISI: 000491272500037Scopus ID: 2-s2.0-85069225068ISBN: 9781538693926 (print)OAI: oai:DiVA.org:kth-262419DiVA, id: diva2:1367411
Conference
2018 International Conference on Photonics in Switching and Computing, PSC 2018, 19-21 September 2018, Limassol, Cyprus
Note

QC 20191104

Available from: 2019-11-04 Created: 2019-11-04 Last updated: 2019-11-07Bibliographically approved

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Furdek, Marija

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