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Through a Smaller Lens: Revisiting Opportunistic Analysis Using Network Telescopes

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

Unsolicited network traffic observed to the addresses monitored by a network telescope enables, among other things, tracking of Internet outages, botnets and DDoS attacks. We examine how a decrease in available address space affects what we can learn about the phenomena we study with telescopes. We conduct a targeted replication of a seminal study conducted 10 years ago. Since then, IPv4 scarcity and rising operational costs have placed increased pressure on operators to maximize use of their allocated space, which has resulted in a reduction of address space available to major telescopes. As a first step, we characterize traffic to three network telescopes that differ in size, spatial distribution, and prominence. We find that most address blocks within each telescope observe a similar number of source IP addresses, and that smaller telescopes offer higher visibility per monitored address. We also find that sources target the IPv4 address space pervasively, with 37.0% of them targeting a /16 block in each of the three telescopes within an hour. As a case study, we examine the sensitivity of randomly-spoofed DoS attack inference to the size of the address space under observation and find that larger telescopes detect many attacks missed by smaller ones, although smaller telescopes observe disproportionately many relative to their address space size. Our study provides a framework to quantify the effects of reduced telescope address space and outlines future directions for telescope research.

Original languageEnglish
Title of host publicationPassive and Active Measurement
Subtitle of host publication27th International Conference, PAM 2026, Virtual Event, March 23-25, 2026, Proceedings
EditorsSimone Ferlin-Reiter, Romain Fontugne, Johanna Ullrich
Place of PublicationCham
PublisherSpringer
Pages294-318
Number of pages25
Edition1
ISBN (Electronic)978-3-032-18268-5
ISBN (Print)978-3-032-18267-8
DOIs
Publication statusPublished - 2026
Event27th International Conference on Passive and Active Measurement, PAM 2026 - Virtual Event, Virtual
Duration: 23 Mar 202625 Mar 2026
Conference number: 27

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume16477 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Passive and Active Measurement, PAM 2026
Abbreviated titlePAM 2026
CityVirtual
Period23/03/2625/03/26

Keywords

  • 2026 OA procedure

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