Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol
The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems an...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/6516253 |
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| author | Hector Alaiz-Moreton Jose Aveleira-Mata Jorge Ondicol-Garcia Angel Luis Muñoz-Castañeda Isaías García Carmen Benavides |
| author_facet | Hector Alaiz-Moreton Jose Aveleira-Mata Jorge Ondicol-Garcia Angel Luis Muñoz-Castañeda Isaías García Carmen Benavides |
| author_sort | Hector Alaiz-Moreton |
| collection | DOAJ |
| description | The large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems (IDS) are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems (IDS) can be improved through machine learning techniques. Our work focuses on creating classification models that can feed an IDS using a dataset containing frames under attacks of an IoT system that uses the MQTT protocol. We have addressed two types of method for classifying the attacks, ensemble methods and deep learning models, more specifically recurrent networks with very satisfactory results. |
| format | Article |
| id | doaj-art-9b75161b86334b1aadeafbb44901873e |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9b75161b86334b1aadeafbb44901873e2025-08-20T03:36:57ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/65162536516253Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT ProtocolHector Alaiz-Moreton0Jose Aveleira-Mata1Jorge Ondicol-Garcia2Angel Luis Muñoz-Castañeda3Isaías García4Carmen Benavides5Escuela de Ingenierías, Universidad de León, 24071 León, SpainResearch Institute of Applied Sciences in Cybersecurity (RIASC) MIC, Universidad de León, 24071 León, SpainResearch Institute of Applied Sciences in Cybersecurity (RIASC) MIC, Universidad de León, 24071 León, SpainResearch Institute of Applied Sciences in Cybersecurity (RIASC) MIC, Universidad de León, 24071 León, SpainEscuela de Ingenierías, Universidad de León, 24071 León, SpainEscuela de Ingenierías, Universidad de León, 24071 León, SpainThe large number of sensors and actuators that make up the Internet of Things obliges these systems to use diverse technologies and protocols. This means that IoT networks are more heterogeneous than traditional networks. This gives rise to new challenges in cybersecurity to protect these systems and devices which are characterized by being connected continuously to the Internet. Intrusion detection systems (IDS) are used to protect IoT systems from the various anomalies and attacks at the network level. Intrusion Detection Systems (IDS) can be improved through machine learning techniques. Our work focuses on creating classification models that can feed an IDS using a dataset containing frames under attacks of an IoT system that uses the MQTT protocol. We have addressed two types of method for classifying the attacks, ensemble methods and deep learning models, more specifically recurrent networks with very satisfactory results.http://dx.doi.org/10.1155/2019/6516253 |
| spellingShingle | Hector Alaiz-Moreton Jose Aveleira-Mata Jorge Ondicol-Garcia Angel Luis Muñoz-Castañeda Isaías García Carmen Benavides Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol Complexity |
| title | Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol |
| title_full | Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol |
| title_fullStr | Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol |
| title_full_unstemmed | Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol |
| title_short | Multiclass Classification Procedure for Detecting Attacks on MQTT-IoT Protocol |
| title_sort | multiclass classification procedure for detecting attacks on mqtt iot protocol |
| url | http://dx.doi.org/10.1155/2019/6516253 |
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