良性蠕虫是一种智能化、自动化的，综合了网络攻击、密码学和计算机病毒技术，无需计算机使用者干预即可运行的攻击程序或代码。良性蠕虫的应用前景广阔，但它传播时对网络造成的冲击使得这一技术的应用减缓，而良性蠕虫流量产生的主要环节是扫描探测阶段和繁殖阶段。本文针对这一特点提出了SRF扩散模型，该模型在扫描探测阶段可采用有序化、分级化和RRHl传播策略，在繁殖阶段结合有限繁殖算法和频度自适应的动态副本控制机制。经验证，和已有策略相比，SRF扩散模型在扫描探测阶段可减少扫描探测流量近40%，在繁殖阶段可精确控制蠕虫副本的数量，从而使其流量达到一个可控制的水平。

The technical application of friendly worms is mitigated by a lot of impact when they spread on the network, But the main traffic comes from the scanning stage and the propagation stage.The SRF strategy is proposed,and the strategy can use the strategy of ordering, classification of IP addresses and the RRHl propagation at the scanning stage.Combining with the finite propagation and the frequency sensitive dynamic replication mechanism at the propagation stage and Comparing with the traditional ones, it decreases the traffic about 40 percent at the scanning stage.At the propagation stage,the strategy controls replication accurately, thus makes the traffic controllable.