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IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT

Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Frassetto, Tommaso ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu (2017)
IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT.
Atlanta, GA, USA
doi: 10.1109/ICDCS.2017.284
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. IoT Sentinel automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Frassetto, Tommaso ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu
Art des Eintrags: Bibliographie
Titel: IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
Sprache: Englisch
Publikationsjahr: Juni 2017
Verlag: IEEE
Buchtitel: Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017)
Veranstaltungsort: Atlanta, GA, USA
DOI: 10.1109/ICDCS.2017.284
Zugehörige Links:
Kurzbeschreibung (Abstract):

The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. IoT Sentinel automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.

Freie Schlagworte: ICRI-SC
ID-Nummer: TUD-CS-2017-0095
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Systemsicherheit
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
Hinterlegungsdatum: 24 Apr 2017 16:53
Letzte Änderung: 06 Jun 2018 13:16
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