The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Hop-count filtering: an effective defense against spoofed DDoS traffic
Abstract
IP spoofing has been exploited by Distributed Denial of Service (DDoS) attacks to (1) conceal flooding sources and localities in flooding traffic, and (2) coax legitimate hosts into becoming reflectors, redirecting and amplifying flooding traffic. Thus, the ability to filter spoofed IP packets near victims is essential to their own protection as well as to their avoidance of becoming involuntary DoS reflectors. Although an attacker can forge any field in the IP header, he or she cannot falsify the number of hops an IP packet takes to reach its destination. This hop-count information can be inferred from the Time-to-Live (TTL) value in the IP header. Using a mapping between IP addresses and their hop-counts to an Internet server, the server can distinguish spoofed IP packets from legitimate ones. Base on this observation, we present a novel filtering technique that is immediately deployable to weed out spoofed IP packets. Through analysis using network measurement data, we show that Hop-Count Filtering (HCF) can identify close to 90% of spoofed IP packets, and then discard them with little collateral damage. We implement and evaluate HCF in the Linux kernel, demonstrating its benefits using experimental measurements.
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Cites
Ferguson, P., & Senie, D. (2000) · doi:10.17487/rfc2827 · Cited by 1,313
Measuring ISP topologies with rocketfuel
Spring, N., Mahajan, R., & Wetherall, D. (2002) · Proceedings of the 2002 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/633025.633039 · Cited by 1,256
Practical network support for IP traceback
Savage, S., Wetherall, D., Karlin, A., & Anderson, T. (2000) · ACM SIGCOMM Computer Communication Review · doi:10.1145/347057.347560 · Cited by 1,127
(2011) · doi:10.1109/infocom17876.2011 · Cited by 1,058
Measuring ISP Topologies With Rocketfuel
Spring, N., Mahajan, R., Wetherall, D., & Anderson, T. (2004) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2003.822655 · Cited by 1,010
Inferring Internet Denial-of-Service Activity
Moore, D., Voelker, G. M., & Savage, S. (2001) · doi:10.21236/ada400003 · Cited by 863
Advanced and authenticated marking schemes for IP traceback
Song, D. X., & Perrig, A. (2002) · Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213) · doi:10.1109/infcom.2001.916279 · Cited by 750
Controlling high bandwidth aggregates in the network
Mahajan, R., Bellovin, S. M., Floyd, S., Ioannidis, J., Paxson, V., & Shenker, S. (2002) · ACM SIGCOMM Computer Communication Review · doi:10.1145/571697.571724 · Cited by 742
Snoeren, A. C., Partridge, C., Sanchez, L. A., Jones, C. E., Tchakountio, F., Kent, S. T., & Strayer, W. T. (2001) · Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/383059.383060 · Cited by 733
End-to-end routing behavior in the Internet
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Cited by
Akamai DNS: Providing Authoritative Answers to the World's Queries
Schomp, K., Bhardwaj, O., Kurdoglu, E., Muhaimen, M., & Sitaraman, R. K. (2020) · Proceedings of the Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication · doi:10.1145/3387514.3405881 · Cited by 38
PREVIR: Fortifying Vehicular Networks Against Denial of Service Attacks
Verma, A., Saha, R., Kumar, G., Conti, M., & Kim, T.-H. (2024) · IEEE Access · doi:10.1109/access.2024.3382992 · Cited by 11
Metadata
- Authors
- Jin, C., Wang, H., & Shin, K. G.
- Venue
- Proceedings of the 10th ACM conference on Computer and communications security
- Publisher
- ACM
- Published
- 2003-10-27
- Pages
- 30-41
- ISSN
- 1543-7221 (ISSN-L)
- OpenAlex
- W2001968297
- Cited by
- 468
- References
- 29
- FWCI
- 16.44
- Type
- conference paper
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.