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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 :
IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT.
Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017) IEEE
[Konferenz- oder Workshop-Beitrag], (2017)

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: Konferenz- oder Workshop-Beitrag (Keine Angabe)
Erschienen: 2017
Autor(en): Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Frassetto, Tommaso ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu
Titel: IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
Sprache: Englisch
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.

Buchtitel: Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017)
Verlag: IEEE
Freie Schlagworte: ICRI-SC
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Systemsicherheit
Profilbereiche
Profilbereiche > Cybersicherheit (CYSEC)
Veranstaltungsort: Atlanta, GA, USA
Hinterlegungsdatum: 24 Apr 2017 16:53
ID-Nummer: TUD-CS-2017-0095
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