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

Markus Mikael Miettinen, Samuel Marchal, Ibbad Hafeez, Tommaso Frassetto, Nadarajah Asokan, Sasu Arimo Olavi Tarkoma, Ahmad-Reza Sadeghi

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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.
Original languageEnglish
Title of host publication2017 IEEE 37th International Conference on Distributed Computing Systems : (ICDSC 2017)
EditorsKisung Lee, Ling Liu
Number of pages4
PublisherIEEE
Publication date5 Jun 2017
Pages2511-2514
ISBN (Print)978-1-5386-1791-5
DOIs
Publication statusPublished - 5 Jun 2017
MoE publication typeA4 Article in conference proceedings
EventInternational Conference on Distributed Computing Systems - Atlanta, United States
Duration: 5 Jun 20178 Jun 2017
Conference number: 37

Publication series

NameInternational Conference on Distributed Computing Systems
ISSN (Print)1063-6927

Fields of Science

  • 113 Computer and information sciences

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