基于社会网络的DDoS防御协作关系优化算法

DDoS defense collaborative relationship optimization algorithm based on social network

针对以往研究中协作关系建立过程不合理及其优化影响因素考虑不全面的问题,基于社会网络思想,提出了一种DDoS防御协作关系优化算法。从复杂适应系统和社会网络两个角度分析了DDoS防御协作关系特点,给出了协作关系优化思路;建立了一种五元组协作关系优化影响因素分析模型,并阐述了模型内各元组之间的关系;参考社会网络有效连带关系的建立过程,采用强化学习思想,设计了协作关系优化算法。DDoS攻防仿真实验结果验证了算法的有效性,该算法能够获得较少交互关系数,降低交互协作信息量,提高整体防御能力。

For the unreasonable establishment process and incomprehensive consideration of influencing factors of collaboration relationship in the previous study, based on social network thinking , this paper proposed a DDoS defense cooperation relationship optimization algorithm. First, it analyzed the characteristics of DDoS defense cooperation relationship from two angles of complex adaptive systems and social network, and gave the collaborative relationship optimization ideas . Then it built a five-tuple collaborative relationships to optimize the model of influencing factors, and elaborated model within relationship between tuples. According to the process of establishing effective ties of social networks and reinforcement learning ideas, it designed a collaborative relationship optimization algorithm. DDoS attack and defense simulation results verify the effectiveness of the algorithm, it＇s able to obtain less number of interactive relationship, reduce the amount of interactive collaboration information and improve the overall defense capability.