Securing Internet of Things Devices Using The Network Context

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00341176" target="_blank" >RIV/68407700:21230/20:00341176 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/TII.2019.2954100" target="_blank" >https://doi.org/10.1109/TII.2019.2954100</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TII.2019.2954100" target="_blank" >10.1109/TII.2019.2954100</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Securing Internet of Things Devices Using The Network Context

Popis výsledku v původním jazyce

Internet of Things (IoT) devices have been widely adopted in recent years. Unlike conventional information systems, IoT solutions have greater access to real-world contextual data and are typically deployed in an environment that cannot be fully controlled, and these circumstances create new challenges and opportunities. In this article, we leverage the knowledge that an IoT device has about its network context to provide an additional security factor. The device periodically scans a network and reports a list of all devices in the network. The server analyzes movements in the network and subsequently reacts to suspicious events. This article describes how our method can detect network changes, retrieved only from scanning devices in the network. To demonstrate the proposed solution, we perform a multiweek case study on a network with hundreds of active devices and confirm that our method can detect network anomalies or changes.

Název v anglickém jazyce

Securing Internet of Things Devices Using The Network Context

Popis výsledku anglicky

Internet of Things (IoT) devices have been widely adopted in recent years. Unlike conventional information systems, IoT solutions have greater access to real-world contextual data and are typically deployed in an environment that cannot be fully controlled, and these circumstances create new challenges and opportunities. In this article, we leverage the knowledge that an IoT device has about its network context to provide an additional security factor. The device periodically scans a network and reports a list of all devices in the network. The server analyzes movements in the network and subsequently reacts to suspicious events. This article describes how our method can detect network changes, retrieved only from scanning devices in the network. To demonstrate the proposed solution, we perform a multiweek case study on a network with hundreds of active devices and confirm that our method can detect network anomalies or changes.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Výzkumné centrum informatiky</a><br>

Návaznosti

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

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS

ISSN

1551-3203

e-ISSN

1941-0050

Svazek periodika

16

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

11

Strana od-do

4017-4027

Kód UT WoS článku

000526381800036

EID výsledku v databázi Scopus

2-s2.0-85081616331