Name
Abstract | ||
|---|---|---|
Software Defined Networking (SDN) decouples the control plane from the data plane, which increases network scalability and flexibility. But malicious applications on SDN controller can cause the entire network to crash. So, we design a reputation and incentive mechanism on SDN to reduce application's malicious access. In the proposed module, first of all, the application behavior is analyzed and the malicious accesses are identified, which are used to build the reputation and incentive mechanism. Second, the analysis results of the application behavior are combined through beta probability density to obtain the reputation rating. The reward or punishment will be given based on the behavior and reputation of the application under the selected social strategy. Simulation results show that the system can accurately identify malicious behavior and reduce malicious requests, with an acceptable runtime overhead about 300 microseconds. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/MSN.2018.000-3 | 2018 14th International Conference on Mobile Ad-Hoc and Sensor Networks (MSN) |
Keywords | Field | DocType |
SDN,application security,malicious access,reputation rating,incentive mechanism | Forwarding plane,Crash,Control theory,Incentive,Application security,Computer science,Computer network,Software-defined networking,Scalability,Reputation,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-7281-0548-2 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yufu Wang | 1 | 0 | 0.34 |
| Yuan Liu | 2 | 32 | 9.82 |
| Jinqiao Hu | 3 | 0 | 0.34 |
| Mingwei Zhang | 4 | 10 | 2.52 |
| Xingwei Wang | 5 | 1025 | 154.16 |