0000000000814752

AUTHOR

Jacopo Maria Valtorta

showing 1 related works from this author

A Clustering approach for profiling LoRaWAN IoT devices

2019

Internet of Things (IoT) devices are starting to play a predominant role in our everyday life. Application systems like Amazon Echo and Google Home allow IoT devices to answer human requests, or trigger some alarms and perform suitable actions. In this scenario, any data information, related device and human interaction are stored in databases and can be used for future analysis and improve the system functionality. Also, IoT information related to the network level (wireless or wired) may be stored in databases and can be processed to improve the technology operation and to detect network anomalies. Acquired data can be also used for profiling operation, in order to group devices according…

050101 languages & linguisticsIoTComputer scienceIoT; LoRa; LoRaWAN; machine learning; k-means; anomaly detection; cluster analysisk-means02 engineering and technologyLoRaSilhouette0202 electrical engineering electronic engineering information engineeringProfiling (information science)Wireless0501 psychology and cognitive sciencesCluster analysisbusiness.industryNetwork packetSettore ING-INF/03 - Telecomunicazioni05 social sciencesk-means clusteringanomaly detectionLoRaWANmachine learning020201 artificial intelligence & image processingAnomaly detectionInternet of ThingsbusinessComputer networkcluster analysis
researchProduct