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Inferring the composition of devices behind a network address translation (NAT) router

August 4, 2021 @ 6:30 pm - 7:30 pm

Free

(Hybrid – at venue and virtual seminar)

Abstract

Network address translation (NAT) is an essential service for combating the shortage of IPv4 address space and is widely deployed within large enterprise to home networks. However, its ubiquitous use has introduced significant challenges into the management of devices on a network.

Device management is of critical importance to network administrators and security analysts alike to better manage and secure the devices operating on their networks. Techniques to perform device management in the presence of the NAT service are therefore essential. However, recent techniques that rely on network traffic payload content are no longer possible due to widespread encryption standards.

In this seminar, I will discuss a technique to estimate the number of devices acting behind a NAT router and the composition of their operating systems; through the exclusive analysis of the IP addresses the router affiliates with. The proposed technique is thus invariant to encryption, lightweight, and widely deployable to distinct network configurations.

About the Speaker

Kyle Millar graduated with a Bachelor of Engineering (Computer Systems) and is a PhD student from the University of Adelaide. The focus of his PhD is the use of graph-based machine learning to characterise internet-connected devices through their network communications, and his research is supported by the Defence Science & Technology Group. His other research interests include passive network reconnaissance, graph-based machine learning, and big data analytics.

REGISTER at: https://events.vtools.ieee.org/m/277581

Online Presentation Details

The seminar will be broadcast using Zoom. If you wish to participate please register and you will receive an email with the details in the lead up to the event.

In person details

Please register, and indicate that you will be attending in person (max capacity: 20). We will let you know if there have been more than 20 in person registrations. (In person attendance: room shall be open at 6pm for 630pm start)

Further information: Please contact:

[email protected] OR [email protected]

* Note

The seminar may revert to virtual-only format if additional Covid-19 restrictions return. If so, registered participants will be notified via email of any changes.