ARTEMIS: An Intrusion Detection System for MQTT Attacks in Internet of Things

Ciklabakkal, Ege; Donmez, Ataberk; Erdemir, Mert; Suren, Emre; Yılmaz, Murat; Angin, Pelin

doi:10.1109/srds47363.2019.00053

Cited by 46 publications

(32 citation statements)

References 6 publications

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“…As previously anticipated, considering previous works on the topic, different custom datasets are build and adopted to design protection systems, by also considering the MQTT protocol. Particularly, in literature, data of DHT11 temperature sensors connected to MQTT public services are adopted [ 38 ], as well as temperature, inRow and coolant sensors [ 39 ]. Although such works are promising, related datasets are not publicly available.…”

Section: Related Workmentioning

confidence: 99%

“…In this case, the MQTT protocol is targeted with the aim to saturate the broker, by establishing several connections with the broker and sending, for each connection, the higher number of messages possible. In order to implement this attack, we adopted the the MQTT-malaria tool [ 38 ], usually adopted to test scalability and load of MQTT services.…”

Section: Mqttset Datasetmentioning

confidence: 99%

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MQTTset, a New Dataset for Machine Learning Techniques on MQTT

Vaccari

Chiola

Aiello

et al. 2020

Sensors

172

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IoT networks are increasingly popular nowadays to monitor critical environments of different nature, significantly increasing the amount of data exchanged. Due to the huge number of connected IoT devices, security of such networks and devices is therefore a critical issue. Detection systems assume a crucial role in the cyber-security field: based on innovative algorithms such as machine learning, they are able to identify or predict cyber-attacks, hence to protect the underlying system. Nevertheless, specific datasets are required to train detection models. In this work we present MQTTset, a dataset focused on the MQTT protocol, widely adopted in IoT networks. We present the creation of the dataset, also validating it through the definition of a hypothetical detection system, by combining the legitimate dataset with cyber-attacks against the MQTT network. Obtained results demonstrate how MQTTset can be used to train machine learning models to implement detection systems able to protect IoT contexts.

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Section: Related Workmentioning

confidence: 99%

Section: Mqttset Datasetmentioning

confidence: 99%

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

Vaccari

Chiola

Aiello

et al. 2020

Sensors

172

View full text Add to dashboard Cite

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“…[75] develops a detection system for DoS attacks based on a network behavior model. [76] proposes ARTEMIS, a framework based on machine learning techniques and algorithms to detect DoS attack against MQTT networks. [45] implements a mitigation approach to mitigate DoS attacks based on QoS features of MQTT and authentication algorithms available on the protocol.…”

Section: Considerations About Protection From Slowitementioning

confidence: 99%

SlowITe, a Novel Denial of Service Attack Affecting MQTT

Vaccari

Aiello

Cambiaso

2020

Sensors

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Security of the Internet of Things is a crucial topic, due to the criticality of the networks and the sensitivity of exchanged data. In this paper, we target the Message Queue Telemetry Transport (MQTT) protocol used in IoT environments for communication between IoT devices. We exploit a specific weakness of MQTT which was identified during our research, allowing the client to configure the behavior of the server. In order to validate the possibility to exploit such vulnerability, we propose SlowITe, a novel low-rate denial of service attack aimed to target MQTT through low-rate techniques. We validate SlowITe against real MQTT services, considering both plain text and encrypted communications and comparing the effects of the threat when targeting different daemons. Results show that the attack is successful and it is able to exploit the identified vulnerability to lead a DoS on the victim with limited attack resources.

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“…An attacker can also target the MQTT protocols information to reduce the performance of data transmission. Ciklabakkal et al [145] analyzed the threats on MQTT broker in IoT environment to evaluate the functionalities of a proposed IDS system.…”

Section: E Application Layer Threatsmentioning

confidence: 99%

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

et al. 2021

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The Internet of Things (IoT) has emerged as a technology capable of connecting heterogeneous nodes/objects, such as people, devices, infrastructure, and makes our daily lives simpler, safer, and fruitful. Being part of a large network of heterogeneous devices, these nodes are typically resourceconstrained and became the weakest link to the cyber attacker. Classical encryption techniques have been employed to ensure the data security of the IoT network. However, high-level encryption techniques can not be employed in IoT devices due to the limitation of resources. In addition, node security is still a challenge for network engineers. Thus, we need to explore a complete solution for IoT networks that can ensure nodes and data security. The rule-based approaches and shallow and deep machine learning algorithms-branches of Artificial Intelligence (AI)-can be employed as countermeasures along with the existing network security protocols. This paper presented a comprehensive layer-wise survey on IoT security threats, and the AIbased security models to impede security threats. Finally, open challenges and future research directions are addressed for the safeguard of the IoT network.

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ARTEMIS: An Intrusion Detection System for MQTT Attacks in Internet of Things

Cited by 46 publications

References 6 publications

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

MQTTset, a New Dataset for Machine Learning Techniques on MQTT

SlowITe, a Novel Denial of Service Attack Affecting MQTT

Security Threats and Artificial Intelligence Based Countermeasures for Internet of Things Networks: A Comprehensive Survey

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