Advanced and authenticated marking schemes for IP traceback
By Dawn Song, Adrian Perrig. Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213), 2001
912 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/8799c678784cbdcf3be4cc2bc285de5a1f89c8f9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Kang G. Shin
- Haining Wang
- David Wetherall
- T. Anderson
- Michael M. Mitzenmacher
- Danlu Zhang
- Dawn Song
- Adrian Perrig
In Computer Networks and Communications
- Kang G. Shin
- Haining Wang
- David Wetherall
- T. Anderson
- Adrian Perrig
- Dawn Song
- Michael M. Mitzenmacher
- Danlu Zhang
In Electrical and Electronic Engineering
- T. Anderson
- David Wetherall
- Dina Katabi
- Heejo Lee
- Kihong Park
- Dawn Song
- Kang G. Shin
- Peter L. Reiher
Citations in the corpus
- Botz-4-sale: surviving organized DDoS attacks that mimic flash crowds (2005, background): “Many variations to the traceback idea detect low-volume attacks [5, 41, 49].”
- On the effectiveness of probabilistic packet marking for IP traceback under denial of service attack (2001, background): “ing the physical source of a DoS attack [6], [9], [10], [11], [12], [13], [14].”
- Botnet Tracking: Exploring a Root-Cause Methodology to Prevent Distributed Denial-of-Service Attacks (2005, background): “, ingress filtering [7], packet marking [20], or ICMP traceback [3,17].”
- PINT: Probabilistic In-band Network Telemetry (2020, methodology): “Alternative approaches add small digests to packets for tracing paths [64, 65, 70].”
- Preventing Internet denial-of-service with capabilities (2004, background): “Traceback concentrates on identifying the hosts responsible for an attack and, like source filtering, does little to prevent sources from sending traffic.”
- Pi: a path identification mechanism to defend against DDoS attacks (2003, background): “Song and Perrig show how to overcome this hurdle by having a map of the upstream routers present at each victim [32].”
- SIFF: a stateless Internet flow filter to mitigate DDoS flooding attacks (2004, background): “Several researchers propose to embed traceback information within the IP packet [2, 12, 19, 26, 35, 38, 43].”
- Network support for IP traceback (2001, background): “Song and Perrig leverage the additional assumption of a network topology map to compress the representation of edge state—thereby vastly improving the robustness against distributed attack [39].”
- Hash-based IP traceback (2001, methodology): “This approach has been improved upon by Song and Perrig to improve the reconstruction of paths and authenticate the encodings [23].”
- DDoS attacks and defense mechanisms: classification and state-of-the-art (2004, background): “Song and Perrig [67] improved the performance of PPM and suggested the use of hash chains for authenticating routers.”