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ARTEMIS: An intrusion detection system for mqtt attacks in internet of things
Date
2019-10-01
Author
Ciklabakkal, Ege
Dönmez, Ataberk
Erdemir, Mert
Suren, Emre
YILMAZ, MUSTAFA TUĞRUL
Angın, Pelin
Metadata
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The Internet of Things (IoT) is now being used increasingly in transportation, healthcare, agriculture, smart home and city systems. IoT devices, the number of which is expected to reach 25 billion all over the world by 2021, are required to be deployed very fast, taking into account commercial pressures. This results in a very important layer, i.e. security, being either completely neglected or having significant shortcomings. Since IoT has a heterogeneous structure, there is a need for intrusion detection systems (IDSs) that take into account the specifics of an IoT system architecture, including the computing power limitations, variety of protocols and prevalence of zero-day attacks. In this paper, we describe ARTEMIS, an IDS for IoT, which processes data from IoT devices using machine learning to detect deviations from the normal behavior of the system and generates alerts in case of anomalies. We have implemented a prototype of the system using IoT devices subscribed to topics at an MQTT broker and provide experimental evaluation of the system under MQTT-related attacks.
Subject Keywords
IoT
,
Intrusion Detection
,
MQTT
URI
https://hdl.handle.net/11511/48428
DOI
https://doi.org/10.1109/srds47363.2019.00053
Collections
Department of Computer Engineering, Conference / Seminar
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BibTeX
E. Ciklabakkal, A. Dönmez, M. Erdemir, E. Suren, M. T. YILMAZ, and P. Angın, “ARTEMIS: An intrusion detection system for mqtt attacks in internet of things,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48428.