Bot_CODA:僵尸网络协同检测体系结构

Bot_CODA:botnet collaborative detection architecture

针对现有僵尸网络检测体系结构中协同功能的不足,提出一个层次协同模型,能够在信息、特性以及决策3个级别上进行信息共享与配合联动。基于该模型,提出一个僵尸网络协同检测体系结构——Bot_CODA,并设计了一个新型的特性提取模块,能够从多种数据中提取僵尸网络的内在特性。通过典型案例分析,表明Bot_CODA能够有效提高检测精度,增强检测能力。

Towards the deficiencies of collaborative functions in existing botnet detection architectures, a hierarchical collaborative model was proposed.The model shares information and cooperates in the three levels of information, fea-ture, and decision-making.On the basis of the proposed model, a botnet collaborative detection architecture(Bot_CODA) was proposed.With a novel feature extraction module, the architecture was able to extract the intrinsic features of botnet from a variety of data sets.The analysis of a representative case indicates that Bot_CODA improves detection accuracy and enhances detection capability.