Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F20%3A00346883" target="_blank" >RIV/68407700:21230/20:00346883 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-64758-2_6" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-64758-2_6</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Machine Learning Based IoT Intrusion Detection System: An MQTT Case Study
Original language description
The Internet of Things (IoT) is one of the main research fields in the Cybersecurity domain. This is due to (a) the increased dependency on automated device, and (b) the inadequacy of general-purpose Intrusion Detection Systems (IDS) to be deployed for special purpose networks usage. Numerous lightweight protocols are being proposed for IoT devices communication usage. One of the distinguishable IoT machine-to-machine communication protocols is Message Queuing Telemetry Transport (MQTT) protocol. However, as per the authors best knowledge, there are no available IDS datasets that include MQTT benign or attack instances and thus, no IDS experimental results available.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Selected Papers from the 12th International Networking Conference
ISBN
978-3-030-64757-5
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
12
Pages from-to
73-84
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Rhodes
Event date
Sep 19, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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