Hop-count filtering: an effective defense against spoofed DDoS traffic

By Cheng Jin, Haining Wang, Kang G. Shin. Conference on Computer and Communications Security, 2003

552 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/c7dc29ff5d1efcf2f451b094fe05e0f676cd85ca

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. Kang G. Shin
2. Danlu Zhang
3. Haining Wang
4. Marina K. Thottan
5. Vasilios A. Siris
6. Chuanyi Ji
7. Fotini Papagalou

In Computer Networks and Communications

1. Kang G. Shin
2. Danlu Zhang
3. Haining Wang
4. Vasilios A. Siris
5. Marina K. Thottan
6. Chuanyi Ji
7. Fotini Papagalou

Citations in the corpus

• Bohatei: Flexible and Elastic DDoS Defense (2015, unknown): “, [35]), and network-wide analysis (e.”
• Change-point monitoring for the detection of DoS attacks (2004, background): “In parallel with these, many defense mechanisms have been installed at victim servers or their proximate firewalls to withstand DoS attacks, such as Client Puzzle [27], [59], Defensive Programming [44], Escort [52], Hopcount Filtering (HCF) [26], Path identifier (Pi) [60], Syn cache [32], Syn cookie”