Security Monitoring of IoT Communication Using Flows

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134170" target="_blank" >RIV/00216305:26230/19:PU134170 - isvavai.cz</a>

Result on the web

<a href="http://doi.acm.org/10.1145/3352700.3352718" target="_blank" >http://doi.acm.org/10.1145/3352700.3352718</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3352700.3352718" target="_blank" >10.1145/3352700.3352718</a>

Result language

angličtina

Original language name

Security Monitoring of IoT Communication Using Flows

Original language description

Network monitoring is an important part of network management that collects valuable metadata describing active communication protocols, network transmissions, bandwidth utilization, and the most communicating nodes. Traditional IP network monitoring techniques include the SNMP system, flow monitoring, or system logging. The environment of the Internet of Things (IoT) networks, however, shows that these approaches do not provide sufficient visibility of IoT communication which would allow network administrators to identify possible attacks on IoT nodes. The reason is obvious: IoT devices lack sufficient computational resources to fully implement monitoring agents, LAN IoT data communication is often directly over data link layers rather than IP, and IoT sensors produce an endless flow of small packets which can be difficult to process in real-time. To tackle these limitations we propose a new IoT monitoring model based on extended IPFIX records. The model employs a passive monitoring probe that observes IoT traffic and collects metadata from IoT protocols. Using extended IPFIX protocol, flow records with IoT metadata are sent to the collector where they are analyzed and used to provide a global view on the whole IoT network and its communication. We also present two statistical approaches that analyze IoT flows data in order to detect security incidents or malfunctioning of a device. The proof-of-concept implementation is demonstrated for Constrained Application Protocol (CoAP) traffic in the smart home environment.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20206 - Computer hardware and architecture

Project

<a href="/en/project/TF03000029" target="_blank" >TF03000029: Internet of Things Monitoring and Forensics (IRONSTONE)</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 6th Conference on the Engineering of Computer Based Systems

ISBN

978-1-4503-7636-5

ISSN

—

e-ISSN

—

Number of pages

9

Pages from-to

1-9

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Bucharest

Event date

Sep 2, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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