TY - GEN
T1 - Simple and adaptive identification of superspreaders by flow sampling
AU - Kamiyama, Noriaki
AU - Mori, Tatsuya
AU - Kawahara, Ryoichi
PY - 2007
Y1 - 2007
N2 - Abusive traffic caused by worms is increasing severely in the Internet. In many cases, worm-infected hosts generate a huge number of flows of small size during a short time. To suppress the abusive traffic and prevent worms from spreading, identifying these "superspreaders" as soon as possible and coping with them, e.g., disconnecting them from the network, is important. This paper proposes a simple and adaptive method of identifying superspreaders by flow sampling. By satisfying the given memory size and the requirement for the processing time, the proposed method can adaptively optimize parameters according to changes in traffic patterns.
AB - Abusive traffic caused by worms is increasing severely in the Internet. In many cases, worm-infected hosts generate a huge number of flows of small size during a short time. To suppress the abusive traffic and prevent worms from spreading, identifying these "superspreaders" as soon as possible and coping with them, e.g., disconnecting them from the network, is important. This paper proposes a simple and adaptive method of identifying superspreaders by flow sampling. By satisfying the given memory size and the requirement for the processing time, the proposed method can adaptively optimize parameters according to changes in traffic patterns.
UR - http://www.scopus.com/inward/record.url?scp=34548357184&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548357184&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2007.305
DO - 10.1109/INFCOM.2007.305
M3 - Conference contribution
AN - SCOPUS:34548357184
SN - 1424410479
SN - 9781424410477
T3 - Proceedings - IEEE INFOCOM
SP - 2481
EP - 2485
BT - Proceedings - IEEE INFOCOM 2007
T2 - IEEE INFOCOM 2007: 26th IEEE International Conference on Computer Communications
Y2 - 6 May 2007 through 12 May 2007
ER -