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 confi
2020
Istituto di informatica e telematica - IIT
978-1-913572-21-1
CyberSecurity
Deep Packet Inspection
Encrypted Traffic Analysis
Internet of Things
Open source
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/419598
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