Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - SDN-PANDA
T2 - IEEE ICNP 2015
AU - Granby, Brian
AU - Askwith, Robert
AU - Marnerides, Angelos
PY - 2015/11/10
Y1 - 2015/11/10
N2 - The proliferation of cloud-enabled services has caused an exponential growth in the traffic volume of modern data centres (DCs). An important aspect for the optimal operation of DCs related to the real-time detection of anomalies within the measured traffic volume in order to identify possible threats or challenges that are caused by either malicious or legitimate intent. Therefore in this paper we present SDN-PANDA, a 'pluggable' software platform that aims to provide centralised administration and experimentation for anomaly detection techniques in Software Defined Data Centres (SDDCs). We present the overall design of the proposed scheme, and illustrate some initial results related to the performance of the current prototype with respect to scalability and basic traffic visualisation. We argue that the introduced platform may facilitate the underlying functional basis for a number of real-time anomaly detection applications and provide the necessary foundations for such algorithms to be easily deployed.
AB - The proliferation of cloud-enabled services has caused an exponential growth in the traffic volume of modern data centres (DCs). An important aspect for the optimal operation of DCs related to the real-time detection of anomalies within the measured traffic volume in order to identify possible threats or challenges that are caused by either malicious or legitimate intent. Therefore in this paper we present SDN-PANDA, a 'pluggable' software platform that aims to provide centralised administration and experimentation for anomaly detection techniques in Software Defined Data Centres (SDDCs). We present the overall design of the proposed scheme, and illustrate some initial results related to the performance of the current prototype with respect to scalability and basic traffic visualisation. We argue that the introduced platform may facilitate the underlying functional basis for a number of real-time anomaly detection applications and provide the necessary foundations for such algorithms to be easily deployed.
U2 - 10.1109/ICNP.2015.58
DO - 10.1109/ICNP.2015.58
M3 - Conference contribution/Paper
T3 - 2015 IEEE 23rd International Conference on Network Protocols (ICNP)
SP - 463
EP - 466
BT - 2015 IEEE 23rd International Conference on Network Protocols (ICNP)
PB - IEEE
Y2 - 10 November 2015 through 13 November 2015
ER -