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Putz, Benedikt ; Vielberth, Manfred ; Pernul, Günther

BISCUIT - Blockchain Security Incident Reporting Based on Human Observations

Putz, Benedikt , Vielberth, Manfred und Pernul, Günther (2022) BISCUIT - Blockchain Security Incident Reporting Based on Human Observations. In: ARES 2022: The 17th International Conference on Availability, Reliability and Security, 23-26 August 2022, Vienna.

Veröffentlichungsdatum dieses Volltextes: 19 Sep 2022 12:43
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.52888

Dies ist die aktuelle Version dieses Eintrags.


Zusammenfassung

Security incidents in blockchain-based systems are frequent nowadays, which calls for more structured efforts in incident reporting and response. To improve the current status quo of reporting incidents on blogs and social media, we propose a decentralized incident reporting and discussion system. Our approach guides users (security novices) towards a classification of their observations using a ...

Security incidents in blockchain-based systems are frequent nowadays, which calls for more structured efforts in incident reporting and response. To improve the current status quo of reporting incidents on blogs and social media, we propose a decentralized incident reporting and discussion system. Our approach guides users (security novices) towards a classification of their observations using a tiered taxonomy of blockchain incidents. Questions based on previous incidents interactively support the classification. Post submission a security incident response committee then discusses these observations on our decentralized platform to decide on an appropriate response. For evaluation, we implement our model as a decentralized application and demonstrate its practical suitability in a preliminary user study.



Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
ISBN978-1-4503-9670-7
Buchtitel:ARES '22: Proceedings of the 17th International Conference on Availability, Reliability and Security
Verlag:Association for Computing Machinery
Ort der Veröffentlichung:New York, NY, USA
Sonstige Reihe:ARES '22
Nummer des Zeitschriftenheftes oder des Kapitels:27
Seitenbereich:S. 1-6
Datum23 August 2022
Zusätzliche Informationen (Öffentlich)This is the submitted version, which is longer than the shortened version accepted at ARES 2022.
InstitutionenWirtschaftswissenschaften > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Informatik und Data Science > Fachbereich Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik I - Informationssysteme (Prof. Dr. Günther Pernul)
Identifikationsnummer
WertTyp
10.1145/3538969.3538984DOI
Stichwörter / KeywordsDistributed Ledger, Incident Detection, Blockchain, Human-as-a-Security-Sensor
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
StatusVeröffentlicht
BegutachtetNein, diese Version wurde noch nicht begutachtet (bei preprints)
An der Universität Regensburg entstandenJa
URN der UB Regensburgurn:nbn:de:bvb:355-epub-528889
Dokumenten-ID52888

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