Abstract
| Original language | English |
|---|---|
| Title of host publication | Proceedings 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE) |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 610-617 |
| Number of pages | 8 |
| ISBN (Electronic) | 978-1-7281-2777-4 |
| ISBN (Print) | 978-1-7281-2778-1 |
| DOIs | |
| Publication status | Published - 2019 |
| Event | 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE 2019) - Rotorua, New Zealand Duration: 5 Aug 2019 → 8 Aug 2019 |
Conference
| Conference | 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE 2019) |
|---|---|
| Abbreviated title | TrustCom/BigDataSE 2019 |
| Country | New Zealand |
| City | Rotorua |
| Period | 5/08/19 → 8/08/19 |
Fingerprint
Cite this
}
Security and Performance Modeling and Optimization for Software Defined Networking. / Eom, Taehoon; Hong, Jin; An, Seongmo; Park, Jong Sou; Kim, Dong Seong.
Proceedings 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). United States : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 610-617.Research output: Chapter in Book/Conference paper › Conference paper
TY - GEN
T1 - Security and Performance Modeling and Optimization for Software Defined Networking
AU - Eom, Taehoon
AU - Hong, Jin
AU - An, Seongmo
AU - Park, Jong Sou
AU - Kim, Dong Seong
PY - 2019
Y1 - 2019
N2 - Software Defined Networking (SDN) provides new functionalities to efficiently manage the network traffic, which can be used to enhance the networking capabilities to support the growing communication demands today. But at the same time, it introduces new attack vectors that can be exploited by attackers. Hence, evaluating and selecting countermeasures to optimize the security of the SDN is of paramount importance. However, one should also take into account the trade-off between security and performance of the SDN. In this paper, we present a security optimization approach for the SDN taking into account the trade-off between security and performance. We evaluate the security of the SDN using graphical security models and metrics, and use queuing models to measure the performance of the SDN. Further, we use Genetic Algorithms, namely NSGA-II, to optimally select the countermeasure with performance and security constraints. Our experimental analysis results show that the proposed approach can efficiently compute the countermeasures that will optimize the security of the SDN while satisfying the performance constraints.
AB - Software Defined Networking (SDN) provides new functionalities to efficiently manage the network traffic, which can be used to enhance the networking capabilities to support the growing communication demands today. But at the same time, it introduces new attack vectors that can be exploited by attackers. Hence, evaluating and selecting countermeasures to optimize the security of the SDN is of paramount importance. However, one should also take into account the trade-off between security and performance of the SDN. In this paper, we present a security optimization approach for the SDN taking into account the trade-off between security and performance. We evaluate the security of the SDN using graphical security models and metrics, and use queuing models to measure the performance of the SDN. Further, we use Genetic Algorithms, namely NSGA-II, to optimally select the countermeasure with performance and security constraints. Our experimental analysis results show that the proposed approach can efficiently compute the countermeasures that will optimize the security of the SDN while satisfying the performance constraints.
U2 - 10.1109/TrustCom/BigDataSE.2019.00087
DO - 10.1109/TrustCom/BigDataSE.2019.00087
M3 - Conference paper
SN - 978-1-7281-2778-1
SP - 610
EP - 617
BT - Proceedings 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - United States
ER -