Security Framework for IoT and Fog Computing Networks

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21240/19:00340309

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Security Framework for IoT and Fog Computing Networks

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Security Framework for IoT and Fog Computing Networks

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

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/VI20172020079" target="_blank" >VI20172020079: Zabezpečená brána pro internet věcí (SIoT)</a><br>

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

—

Počet stran výsledku

6

Strana od-do

87-92

Název nakladatele

IEEE

Místo vydání

Palladam, India

Místo konání akce

Palladam, India

Datum konání akce

12. 12. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—