基于移动Sink的WSN安全数据收集方法

由于目前基于移动Sink的WSN数据收集方法存在网络攻击检测率不高、内存开销大等问题，导致网络较易受到网络攻击且难以被实际应用。针对该问题，提出一种基于移动Sink的WSN安全数据收集方法，利用能量感知的凸壳算法，识别数据收集点，使用椭圆加密算法（ECC）为网络内的所有节点生成密钥，通过ElGamal算法实现节点身份和消息的认证，使用支持向量机（SVM）识别网络攻击类型。仿真实验结果表明，所提出的安全数据收集方法在攻击检测率、内存开销以及数据包投递率方面都表现出较好的性能。

Secure data collection method of WSN based on mobile Sink

At present, WSN data collection method based on mobile Sink has some problems, such as low detection rate of network attack and large memory cost, which makes the network vulnerable to network attack and difficult to be applied in practice.To solve this problem, a secure data collection WSN method of WSN based on mobile Sink was proposed, which used convex hull algorithm of energy perception to identify data collection points, used elliptic encryption algorithm (ECC) to generate key for all nodes in the network, used ElGamal algorithm to realize node identity and message authentication, and used support vector machine (SVM) to identify network attack types.The simulation results show that the proposed secure data collection method has good performance in attack detection rate, memory overhead and packet delivery rate.