基于免疫原理的WSNs数据融合与安全机制

对于无线传感器网络中数据融合的安全问题，提出了数据融合和安全RAISM机制．采用粗糙集约简，建立属性特征库，保存已上传数据包的特征信息，分析、整合、压缩数据包，以达到消冗的目的；同时，通过免疫系统自我学习、记忆和选择，进一步优化待传数据包，利用记忆细胞记忆已传数据包特征，建立入侵检测库，检测融合后的数据安全性．实验结果证明，本机制消除了数据冗余，减少了传输数据量，提高了检测效率，保证了数据有效性和安全性．

Data Fusion and Security Mechanism of WSNs Based on Immune Theory

To solve security problem of data fusion of wireless sensor network, date fusion and security RAISM mechanism are put forward. By reduction of the rough sets, building attributive character library, and saving feature information of data packages uploaded, analyzing, integrating and compressing data packages, redundancy is removed. Meanwhile, by self-learning, memory and selection of immune system, the candidate data packages are optimized further. Intrusion detection library is built by uploaded of memory cells to detect security of aggregated data. Experimental results show that the mechanism can remove redundancy, lower transmittal data size, and improve detection efficiency, guarantee data of validity and safety.