Security Framework for IoT and Fog Computing Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F19%3A10133228" target="_blank" >RIV/63839172:_____/19:10133228 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21240/19:00340309

Result on the web

<a href="http://dx.doi.org/10.1109/I-SMAC47947.2019.9032592" target="_blank" >http://dx.doi.org/10.1109/I-SMAC47947.2019.9032592</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/I-SMAC47947.2019.9032592" target="_blank" >10.1109/I-SMAC47947.2019.9032592</a>

Result language

angličtina

Original language name

Security Framework for IoT and Fog Computing Networks

Original language description

Our environment becomes more and more in-tercon-nected. Various devices like refrigerators, doors or light bulbs communicate over different networks and provide information for applications that are supposed to make our lives easier and more comfortable. However, such data provide sensitive information about our presence or habits and become captivating for network attackers. It is very challenging to detect incidents in heterogeneous IoT networks where different devices come in and out or change their network profiles quite frequently. We propose a security framework for IoT and fog computing networks to address these challenges. Our framework is very flexible and designed even for devices with limited computational power. All components can be deployed on one network node or distributed among many, which also allows easy scalability. Part of our solution is software IoT gateway that provides the capability to analyse traffic from non-IP IoT sensors. This project covers full-stack security solution because it contains collectors, detectors and management tools. This framework has only software components with no relation to any specific hardware device. It is developed as an open-source project and it is publicly available for the worldwide community. Currently developed detectors detect identified vulnerabilities for Z-Wave, Long Range Wide Area Network (LoRaWAN), BLE and IP based IoT protocols.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

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

Project

<a href="/en/project/VI20172020079" target="_blank" >VI20172020079: Secure Gateway for the Internet of Things (SIoT)</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 Third International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC 2019)

ISBN

978-1-72814-365-1

ISSN

—

e-ISSN

—

Number of pages

6

Pages from-to

87-92

Publisher name

IEEE

Place of publication

Palladam, India

Event location

Palladam, India

Event date

Dec 12, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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