Cutting-edge cloud frameworks will require a paradigm shift in regards to how they are built and managed. Traditional management and control platforms face significant challenges in terms of security, reliability, and flexibility that these cutting-edge frameworks must deal with. On the other hand, Distributed Denial of Service (DDoS) attacks have become a weapon of choice for cyber-terrorists, cyber-extortionists, and hackers. Recently, the simplicity of programmability in Software-Defined Networking (SDN) makes it a good platform for the implementation of various initiatives that includes decentralized network management, dynamic topology changes, and application deployment in a multi-tenant data center environment. Motivated by the capabilities of SDN, we are proposing a mitigation architecture for security attacks that incorporates a highly programmable monitoring network so as to make it possible to identify attacks. It has a flexible control structure to quickly define the reaction of attacks and particular side, and we show how SDN can be used as a key application in the cloud IoT. We evaluated the performance of our proposed architecture and compared it with the existing models to obtain various performance measures. The results of our evaluation show that our OpCloudSec architecture model can efficiently and effectively meet the security challenges created by the new network paradigm.
Bibliographical noteThis work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (No. 2016R1A2B4011069).
- Deep learning
- Software Defined Networking