The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Pi: a path identification mechanism to defend against DDoS attacks
Open accessAbstract
Distributed denial of service (DDoS) attacks continue to plague the Internet. Defense against these attacks is complicated by spoofed source IP addresses, which make it difficult to determine a packet's true origin. We propose Pi (short for path identifier), a new packet marking approach in which a path fingerprint is embedded in each packet, enabling a victim to identify packets traversing the same paths through the Internet on a per packet basis, regardless of source IP address spoofing. Pi features many unique properties. It is a per-packet deterministic mechanism: each packet traveling along the same path carries the same identifier This allows the victim to take a proactive role in defending against a DDoS attack by using the Pi mark to filter out packets matching the attackers' identifiers on a per packet basis. The Pi scheme performs well under large-scale DDoS attacks consisting of thousands of attackers, and is effective even when only half the routers in the Internet participate in packet marking. Pi marking and filtering are both extremely lightweight and require negligible state. We use traceroute maps of real Internet topologies (e.g. CAIDA's Skitter (2000) and Burch and Cheswick's Internet Map (1999, 2002)) to simulate DDoS attacks and validate our design.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Ferguson, P., & Senie, D. (1998) · doi:10.17487/rfc2267 · Cited by 381
Cited by
Cyber security in the Smart Grid: Survey and challenges
Wang, W., & Lu, Z. (2013) · Computer Networks · doi:10.1016/j.comnet.2012.12.017 · Cited by 1,123
A Survey of Man in the Middle Attacks
Conti, M., Dragoni, N., & Lesyk, V. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2548426 · Cited by 724
Bhushan, B., & Sahoo, G. (2018) · Wireless Personal Communications · doi:10.1007/s11277-017-4962-0 · Cited by 181
Man-in-the-middle attack in wireless and computer networking — A review
Bhushan, B., Sahoo, G., & Rai, A. K. (2017) · 2017 3rd International Conference on Advances in Computing,Communication & Automation (ICACCA) (Fall) · doi:10.1109/icaccaf.2017.8344724 · Cited by 128
Metadata
- Authors
- Yaar, A., Perrig, A., & Song, D.
- Venue
- Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405)
- Publisher
- IEEE Comput. Soc
- Published
- 2004-05-13
- Pages
- 93-107
- ISSN
- 1084-4627 (ISSN-L)
- OpenAlex
- W2136262545
- Cited by
- 415
- References
- 1
- FWCI
- 24.27
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pi: a path identification mechanism to defend against DDoS attacks. https://app.cochat.ai/papers/10.1109/secpri.2003.1199330
- The paper
- Yaar, A., Perrig, A., & Song, D. (2004). Pi: a path identification mechanism to defend against DDoS attacks. Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405). https://doi.org/10.1109/secpri.2003.1199330
Data sources
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.