Using NetFlow to measure the impact of deploying DNS-based blacklists

Martin Fejrskov Andersen*, Jens Myrup Pedersen, Emmanouil Vasilomanolakis

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)
80 Downloads (Pure)

Abstract

To prevent user exposure to a wide range of cyber security threats, organizations and companies often resort to deploying blacklists in DNS resolvers or DNS firewalls. The impact of such a deployment is often measured by comparing the coverage of individual blacklists, by counting the number of blocked DNS requests, or by counting the number of flows redirected to a benign web page that contains a warning to the user. This paper suggests an alternative to this by using NetFlow data to measure the effect of a DNS-based blacklist deployment. Our findings suggest that only 38-40% of blacklisted flows are web traffic. Furthermore, the paper analyzes the flows blacklisted by IP address, and it is shown that the majority of these are potentially benign, such as flows towards a web server hosting both benign and malicious sites. Finally, the flows blacklisted by domain name are categorized as either spam or malware, and it is shown that less than 6% are considered malicious.
OriginalsprogEngelsk
TitelSecurity and Privacy in Communication Networks : 17th EAI International Conference, SecureComm 2021, Virtual Event, September 6–9, 2021, Proceedings, Part I
RedaktørerJoaquin Garcia-Alfaro, Shujun Li, Radha Poovendran, Hervé Debar, Moti Yung
Antal sider21
Vol/bind1
UdgivelsesstedSpringer, Cham
ForlagSpringer
Publikationsdato3 nov. 2021
Sider476-496
ISBN (Trykt)978-3-030-90018-2
ISBN (Elektronisk)978-3-030-90019-9
DOI
StatusUdgivet - 3 nov. 2021
BegivenhedInternational Conference, SecureComm 2021 - Virtual Event
Varighed: 6 sep. 20219 sep. 2021
Konferencens nummer: 17th

Konference

KonferenceInternational Conference, SecureComm 2021
Nummer17th
LokationVirtual Event
Periode06/09/202109/09/2021
NavnLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Vol/bind398
ISSN1867-8211

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