Direkt zum Inhalt

Puchta, Alexander ; Baumer, Thomas ; Müller, Mathis ; Pernul, Günther

IAM Meets CTI: Make Identity and Access Management Ready for Cyber Threat Intelligence

Puchta, Alexander , Baumer, Thomas , Müller, Mathis und Pernul, Günther (2024) IAM Meets CTI: Make Identity and Access Management Ready for Cyber Threat Intelligence. In: DBSec 2024, 15.-17. Jul 2024, San José, CA, USA.

Veröffentlichungsdatum dieses Volltextes: 18 Jul 2024 06:44
Konferenz- oder Workshop-Beitrag
DOI zum Zitieren dieses Dokuments: 10.5283/epub.58658


Zusammenfassung

Enterprises rely on Identity and Access Management (IAM) systems as their primary solution for digital identity management and access control. While regulatory compliance is often a driving factor for such systems, they also serve as an essential security gate fortifying the defense against cyber attacks. However, when analyzing suspected or actual attacks, Security Information and Event ...

Enterprises rely on Identity and Access Management (IAM) systems as their primary solution for digital identity management and access control. While regulatory compliance is often a driving factor for such systems, they also serve as an essential security gate fortifying the defense against cyber attacks. However, when analyzing suspected or actual attacks, Security Information and Event Management (SIEM) systems and Cyber Threat Intelligence (CTI) are commonly employed but under-utilize valuable IAM data. IAM analysts can overcome such challenges by designing and implementing suitable mechanisms for a swift, easy-to-use, and faultless data transfer from IAM to SIEM. We contribute with a survey to identify ten central IAM findings relevant to CTI. We also evaluate their real-world feasibility by applying them within an anonymized data set of TrustCorp and make our tools open-source.



Beteiligte Einrichtungen


Details

DokumentenartKonferenz- oder Workshop-Beitrag (Paper)
ISBN978-3-031-65171-7, 978-3-031-65172-4
Buchtitel:Data and Applications Security and Privacy XXXVIII. DBSec 2024
Verlag:Springer
Ort der Veröffentlichung:Cham
Sonstige Reihe:Lecture Notes in Computer Science
Band:14901
Seitenbereich:S. 44-52
Datum13 Juli 2024
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
10.1007/978-3-031-65172-4_3DOI
Verwandte URLs
URLURL Typ
https://devise.ur.deProjekt
https://github.com/IAMmeetsCTI/IAM-meets-CTISoftware
Stichwörter / KeywordsIAM, CTI, SIEM, IDS
Dewey-Dezimal-Klassifikation000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik
300 Sozialwissenschaften > 330 Wirtschaft
StatusVeröffentlicht
BegutachtetJa, diese Version wurde begutachtet
An der Universität Regensburg entstandenZum Teil
URN der UB Regensburgurn:nbn:de:bvb:355-epub-586583
Dokumenten-ID58658

Bibliographische Daten exportieren

Nur für Besitzer und Autoren: Kontrollseite des Eintrags

nach oben