Cloud Based Data Protection in Anonymously Controlled SDN

Abstract

Nowadays, Software Defined Network (SDN) develops rapidly for its novel structure which separates the control plane and the data plane of network devices. Many researchers devoted themselves to the study of such a special network. However, some limitations restrict the development of SDN. On the one hand, the single controller in the conventional model bears all threats, and the corruption of it will result in network paralysis. On the other hand, the data will be increasing more in SDN switches in the data plane, while the storage space of these switches is limited. In order to solve the mentioned issues, we propose two corresponding protocols in this paper. Specifically, one is an anonymous protocol in the control plane, and the other is a verifiable outsourcing protocol in the data plane. The evaluation indicates that our protocol is correct, secure, and efficient.

Integrating Enhanced Decoy Technology and User Behavior Profiling for Strengthening Cloud Server Security

“…A thorough assessment of the combined approach's performance, including how well it detects and mitigates different security threats, is provided by the research [7].User behaviour profiling and enhanced decoy technology are two of the various cloud computing data protection strategies that the authors compare and contrast in this study. The analysis highlights possible synergies when combining the various approaches and offers insights into their advantages and disadvantages [8].…”