Abstract
Darknets are sets of IP addresses that are advertised but do not host any client or server. By passively recording the incoming packets, they assist network monitoring activities. Since packets they receive are unsolicited by definition, darknets help to spot misconfigurations as well as important security events, such as the appearance and spread of botnets, DDoS attacks using spoofed IP address, etc. A number of organizations worldwide deploys darknets, ranging from a few dozens of IP addresses to large/8 networks. We here investigate how similar is the visibility of different darknets. By relying on traffic from three darknets deployed in different contintents, we evaluate their exposure in terms of observed events given their allocated IP addresses. The latter is particularly relevant considering the shortage of IPv4 addresses on the Internet. Our results suggest that some well-known facts about darknet visibility seem invariant across deployments, such as the most commonly contacted ports. However, size and location matter. We find significant differences in the observed traffic from darknets deployed in different IP ranges as well as according to the size of the IP range allocated for the monitoring.
Original language | English |
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Title of host publication | 25th IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2019 |
Publisher | IEEE |
ISBN (Electronic) | 9781728114347 |
DOIs | |
Publication status | Published - 26 Sept 2019 |
Event | 25th IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2019 - Paris, France Duration: 1 Jul 2019 → 3 Jul 2019 Conference number: 25 |
Publication series
Name | IEEE Workshop on Local and Metropolitan Area Networks |
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Volume | 2019-July |
ISSN (Print) | 1944-0367 |
ISSN (Electronic) | 1944-0375 |
Conference
Conference | 25th IEEE International Symposium on Local and Metropolitan Area Networks, LANMAN 2019 |
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Abbreviated title | LANMAN 2019 |
Country/Territory | France |
City | Paris |
Period | 1/07/19 → 3/07/19 |
Keywords
- Darknets
- Darkspaces
- Network telescopes
- Sinks