Abstract
| Language | Undefined |
|---|---|
| Title of host publication | Proceedings of IEEE/IFIP Network Operations and Management Symposium (NOMS 2012) |
| Editors | L. Paschoal Gaspary, Filip De Turk |
| Place of Publication | USA |
| Publisher | IEEE Communications Society |
| Pages | 343-350 |
| Number of pages | 8 |
| ISBN (Print) | 978-1-4673-0269-2 |
| DOIs | |
| State | Published - Apr 2012 |
| Event | 13th IEEE/IFIP Network Operations and Management Symposium, NOMS 2012 - Maui, United States Duration: 16 Apr 2012 → 20 Apr 2012 Conference number: 13 http://noms2012.ieee-noms.org/ |
Publication series
| Name | |
|---|---|
| Publisher | IEEE Communications Society |
| Volume | 1 |
Conference
| Conference | 13th IEEE/IFIP Network Operations and Management Symposium, NOMS 2012 |
|---|---|
| Abbreviated title | NOMS 2012 |
| Country | United States |
| City | Maui |
| Period | 16/04/12 → 20/04/12 |
| Internet address |
Keywords
- IR-79352
- EWI-21235
- EC Grant Agreement nr.: FP7/257513
- METIS-284989
Cite this
}
Internet Bad Neighborhoods Aggregation. / Moreira Moura, Giovane; Sadre, R.; Sperotto, Anna; Pras, Aiko.
Proceedings of IEEE/IFIP Network Operations and Management Symposium (NOMS 2012). ed. / L. Paschoal Gaspary; Filip De Turk. USA : IEEE Communications Society, 2012. p. 343-350.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Internet Bad Neighborhoods Aggregation
AU - Moreira Moura,Giovane
AU - Sadre,R.
AU - Sperotto,Anna
AU - Pras,Aiko
PY - 2012/4
Y1 - 2012/4
N2 - Internet Bad Neighborhoods have proven to be an innovative approach for fighting spam. They have also helped to understand how spammers are distributed on the Internet. In our previous works, the size of each bad neighborhood was fixed to a /24 subnetwork. In this paper, however, we investigate if it is feasible to aggregate Internet bad neighborhoods not only at /24, but to any network prefix. To do that, we propose two different aggregation strategies: fixed prefix and variable prefix. The motivation for doing that is to reduce the number of entries in the bad neighborhood list, thus reducing memory storage requirements for intrusion detection solutions. We also introduce two error measures that allow to quantify how much error was incurred by the aggregation process. An evaluation of both strategies was conducted by analyzing real world data in our aggregation prototype.
AB - Internet Bad Neighborhoods have proven to be an innovative approach for fighting spam. They have also helped to understand how spammers are distributed on the Internet. In our previous works, the size of each bad neighborhood was fixed to a /24 subnetwork. In this paper, however, we investigate if it is feasible to aggregate Internet bad neighborhoods not only at /24, but to any network prefix. To do that, we propose two different aggregation strategies: fixed prefix and variable prefix. The motivation for doing that is to reduce the number of entries in the bad neighborhood list, thus reducing memory storage requirements for intrusion detection solutions. We also introduce two error measures that allow to quantify how much error was incurred by the aggregation process. An evaluation of both strategies was conducted by analyzing real world data in our aggregation prototype.
KW - IR-79352
KW - EWI-21235
KW - EC Grant Agreement nr.: FP7/257513
KW - METIS-284989
U2 - 10.1109/NOMS.2012.6211917
DO - 10.1109/NOMS.2012.6211917
M3 - Conference contribution
SN - 978-1-4673-0269-2
SP - 343
EP - 350
BT - Proceedings of IEEE/IFIP Network Operations and Management Symposium (NOMS 2012)
PB - IEEE Communications Society
CY - USA
ER -