Martin Eian

dblp:10/2423 · DBLP profile ↗
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7ranked-venue papers
3as first author
2since 2021 · last 2025
0009-0004-7461-3202ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 5 · 2 first-author · 1 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1 · 1 first-authorTheory of computation · 1 · 1 since 2021
YearPublicationVenuePosition
2025 A Graph-Based Approach to Alert Contextualisation in Security Operations Centres
Magnus Wiik Eckhoff, Peter Marius Flydal, Siem Peters, Martin Eian, Jonas Halvorsen, Vasileios Mavroeidis, Gudmund Grov
ISC4
2024 On the Use of Neurosymbolic AI for Defending Against Cyber Attacks
Gudmund Grov, Jonas Halvorsen, Magnus Wiik Eckhoff, Bjørn Jervell Hansen, Martin Eian, Vasileios Mavroeidis
NeSy (1)5
2020 Modeling Cyber Threat Intelligence
abstract
proposing a new data model for enabling automation in knowledge representation and exchange.vi
Siri Bromander, Morton Swimmer, Martin Eian, Geir Skjøtskift, Fredrik Borg
ICISSP3
2012 A formal analysis of IEEE 802.11w deadlock vulnerabilities
abstract
Formal methods can be used to discover obscure denial of service (DoS) vulnerabilities in wireless network protocols. The application of formal methods to the analysis of DoS vulnerabilities in communication protocols is not a mature research area. Although several formal models have been proposed, they lack a clear and convincing demonstration of their usefulness and practicality. This paper bridges the gap between theory and practice, and shows how a simple protocol model can be used to discover protocol deadlock vulnerabilities. A deadlock vulnerability is the most severe form of DoS vulnerabilities, thus checking for deadlock vulnerabilities is an essential part of robust protocol design. We demonstrate the usefulness of the proposed method through the discovery and experimental validation of deadlock vulnerabilities in the published IEEE 802.11w amendment to the 802.11 standard. We present the complete procedure of our approach, from model construction to verification and validation. An Appendix includes the complete model source code, which facilitates the replication and extension of our results. The source code can also be used as a template for modeling other protocols.
Martin Eian, Stig Fr. Mjølsnes
INFOCOM1
2010 A Practical Cryptographic Denial of Service Attack against 802.11i TKIP and CCMP
Martin Eian
CANS1
2010 Detecting Intermediary Hosts by TCP Latency Measurements
Gurvinder Singh, Martin Eian, Svein Yngvar Willassen, Stig Fr. Mjølsnes
ICDF2C2
2009 Fragility of the Robust Security Network: 802.11 Denial of Service
Martin Eian
ACNS1