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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
Conference or Workshop Item, Bibliographie

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.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Miettinen, Markus ; Marchal, Samuel ; Hafeez, Ibbad ; Frassetto, Tommaso ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, Sasu
Type of entry: Bibliographie
Title: IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
Language: English
Date: June 2017
Publisher: IEEE
Book Title: Proc. 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017)
Event Location: Atlanta, GA, USA
DOI: 10.1109/ICDCS.2017.284
Corresponding Links:
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.

Uncontrolled Keywords: ICRI-SC
Identification Number: TUD-CS-2017-0095
Divisions: 20 Department of Computer Science
20 Department of Computer Science > System Security Lab
Profile Areas
Profile Areas > Cybersecurity (CYSEC)
Date Deposited: 24 Apr 2017 16:53
Last Modified: 06 Jun 2018 13:16
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