| Title | MTD Analysis and Evaluation Framework in Software Defined Network (MASON) |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Chowdhary, Ankur, Alshamrani, Adel, Huang, Dijiang, Liang, Hongbin |
| Conference Name | Proceedings of the 2018 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5635-0 |
| Keywords | Intrusion Detection System (IDS), moving target defense, moving target defense (MTD), Predictive Metrics, pubcrawl, Resiliency, Scalability, software defined networking (SDN) |
| Abstract | Security issues in a Software Defined Network (SDN) environment like system vulnerabilities and intrusion attempts can pose a security risk for multi-tenant network managed by SDN. In this research work, Moving target defense (MTD)technique based on shuffle strategy - port hopping has been employed to increase the difficulty for the attacker trying to exploit the cloud network. Our research workMASON, considers the problem of multi-stage attacks in a network managed using SDN. SDN controller can be used to dynamically reconfigure the network and render attacker>>s knowledge in multi-stage attacks redundant. We have used a threat score based on vulnerability information and intrusion attempts to identify Virtual Machines (VMs) in systems with high-security risk and implement MTD countermeasures port hopping to assess threat score reduction in a cloud network. |
| URL | http://doi.acm.org/10.1145/3180465.3180473 |
| DOI | 10.1145/3180465.3180473 |
| Citation Key | chowdhary_mtd_2018 |
MTD Analysis and Evaluation Framework in Software Defined Network (MASON)