The pervasive use of encrypted protocols and new communication paradigms based on mobile and home IoT devices has obsoleted traffic analysis techniques that relied on clear text analysis. This has required new monitoring metrics being able to characterise, identify, and classify traffic not just in terms of network protocols but also behaviour and intended use.? This paper reports the lessons learnt while analysing traffic in both home networks and the Internet, and it describes how monitoring metrics used in experiments have been implemented in an open source toolkit for deep packet inspection and traffic analysis. The validation process confi
Monitoring IoT Encrypted Traffic with Deep Packet Inspection and Statistical Analysis
L Deri;D Sartiano
2020
Abstract
The pervasive use of encrypted protocols and new communication paradigms based on mobile and home IoT devices has obsoleted traffic analysis techniques that relied on clear text analysis. This has required new monitoring metrics being able to characterise, identify, and classify traffic not just in terms of network protocols but also behaviour and intended use.? This paper reports the lessons learnt while analysing traffic in both home networks and the Internet, and it describes how monitoring metrics used in experiments have been implemented in an open source toolkit for deep packet inspection and traffic analysis. The validation process confiFile | Dimensione | Formato | |
---|---|---|---|
prod_442274-doc_158693.pdf
accesso aperto
Descrizione: Monitoring IoT Encrypted Traffic with Deep Packet Inspection and Statistical Analysis
Tipologia:
Versione Editoriale (PDF)
Licenza:
Creative commons
Dimensione
190.35 kB
Formato
Adobe PDF
|
190.35 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.