Abstract
The detection of BGP hijacking attacks has been at the focus of research for more than a decade. However, state-of-the-art techniques fall short of detecting subprefix hijacking, where smaller parts of a victim’s networks are targeted by an attacker. The analysis of corresponding routing anomalies, so-called subMOAS events, is tedious since these anomalies are numerous and mostly have legitimate reasons.
In this paper, we propose, implement and test a new approach to investigate subMOAS events. Our method combines input from several data sources that can reliably disprove malicious intent. First, we make use of the database of a Internet Routing Registry (IRR) to derive business relations between the parties involved in a subMOAS event. Second, we use a topology-based reasoning algorithm to rule out subMOAS events caused by legitimate network setups. Finally, we use Internet-wide network scans to identify SSL-enabled hosts in a large number of subnets. Where we observe that public/private key pairs do not change during an event, we can eliminate the possibility of an attack. We can show that subprefix announcements with multiple origins are harmless for the largest part. This significantly reduces the search space in which we need to look for hijacking attacks.
In this paper, we propose, implement and test a new approach to investigate subMOAS events. Our method combines input from several data sources that can reliably disprove malicious intent. First, we make use of the database of a Internet Routing Registry (IRR) to derive business relations between the parties involved in a subMOAS event. Second, we use a topology-based reasoning algorithm to rule out subMOAS events caused by legitimate network setups. Finally, we use Internet-wide network scans to identify SSL-enabled hosts in a large number of subnets. Where we observe that public/private key pairs do not change during an event, we can eliminate the possibility of an attack. We can show that subprefix announcements with multiple origins are harmless for the largest part. This significantly reduces the search space in which we need to look for hijacking attacks.
Original language | English |
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Title of host publication | Traffic Monitoring and Analysis |
Subtitle of host publication | 7th International Workshop, TMA 2015, Barcelona, Spain, April 21-24, 2015. Proceedings |
Editors | Moritz Steiner, Pere Barlet-Ros, Olivier Bonaventure |
Place of Publication | Cham |
Publisher | Springer |
Pages | 173-187 |
ISBN (Electronic) | 978-3-319-17172-2 |
ISBN (Print) | 978-3-319-17171-5 |
DOIs | |
Publication status | Published - 2015 |
Externally published | Yes |
Event | 7th International Workshop on Traffic Monitoring and Analysis, TMA 2015 - Barcelona, Spain Duration: 21 Apr 2015 → 24 Apr 2015 Conference number: 7 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer |
Volume | 9053 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Name | Computer Communication Networks and Telecommunications |
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Publisher | Springer |
Conference
Conference | 7th International Workshop on Traffic Monitoring and Analysis, TMA 2015 |
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Abbreviated title | TMA |
Country/Territory | Spain |
City | Barcelona |
Period | 21/04/15 → 24/04/15 |
Keywords
- Ground truth
- Business relationships
- Graph database
- Border gateway protocol
- Topology reasoning