Defense Against Spoofed IP Traffic Using Hop-Count Filtering

By Haining Wang, Cheng Jin, Kang G. Shin. IEEE/ACM Transactions on Networking, 2007

461 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/61881cb23f7be2b1ee8b9990bc1337916e35d0f0

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

1. David Warren Tipper
2. James B. D. Joshi
3. Mauro Conti
4. Viktor Lesyk
5. Saman Taghavi Zargar
6. Nicola Dragoni

In Computer Networks and Communications

1. David Warren Tipper
2. James B. D. Joshi
3. Mauro Conti
4. Viktor Lesyk
5. Saman Taghavi Zargar
6. Nicola Dragoni

Citations in the corpus

• A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks (2013, methodology): “Hop-count filtering [74]: In this mechanism, information about a source IP address and its corresponding hops from a destination are recorded in a table at the destination side when the destination is not under attack.”
• A Survey of Man In The Middle Attacks (2016, methodology): “2) Host-Based Solutions: Hop Count Filtering (HCF) [128] checks the validation of source prefix based on the binding between prefix and hop count value.”