Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study
Esteban Jove, José Aveleira‐Mata, Héctor Aláiz‐Moretón, José‐Luis Casteleiro‐Roca, David Yeregui Marcos del Blanco, Francisco Zayas‐Gato, Héctor Quintián, José Luis Calvo‐Rolle
Abstract
The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the deployment of different one-class classifiers to prevent attacks over the Internet of Things (IoT) protocol Message Queuing Telemetry Transport (MQTT). The utilization of real data sets has allowed us to train the one-class algorithms, showing a remarkable performance in detecting attacks.
Topics & Concepts
MQTTComputer scienceIntrusion detection systemMessage queueSoftware deploymentClass (philosophy)Computer networkProtocol (science)Computer securityThe InternetInternet of ThingsArtificial intelligenceOperating systemAlternative medicinePathologyMedicineNetwork Security and Intrusion DetectionAnomaly Detection Techniques and ApplicationsInternet Traffic Analysis and Secure E-voting