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Investigating different factors affecting the infection rate of Internet worms

机译:调查影响互联网蠕虫感染率的不同因素

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It is obvious that Computer networks are plagued by Internet worms during last years. These worms has bad influence on the quality of internet services. Better development of worms filters is based on a complete vision of its behavior and methods of its spread. Moreover, reactions to attempted infections may slow down the highly infection rate of internet worms. Different factors affect the spread rate of internet worms such as the underlying transport protocol (TCP or UDP) which creates a distinct difference in propagation of worms from a network's point of view. In this study, different internet worms and factors that affect their infection rate are investigated. These factors include Transport Protocol, Infection Length, Target Vector and Scanning Pattern, Scan rate, round trip time, Bandwidth, Queue buildup, and the number of parallel connections. The study will help to get insight the TCP and UDP internet worms, their life cycle, methods selecting target victims and the critical parameters that may affect their spread rate.
机译:很明显,计算机网络是通过互联网蠕虫在过去几年困扰。这些蠕虫对互联网服务的质量的不良影响。蠕虫过滤器更好的发展是基于它的行为和它的传播方法的完整视野。此外,为了试图感染的反应会减慢互联网蠕虫的高感染率。不同的因素影响互联网蠕虫的传播速率如这产生从一个网络的点中的蠕虫的传播的显着差异底层传输协议(TCP或UDP)。在这项研究中,影响其感染率不同的网络蠕虫和因素进行了研究。这些因素包括传输协议,感染长度,目标矢量和扫描图案,扫描速率,往返时间,带宽,队列累积,和并联连接的数目。这项研究将有助于获得洞察力的TCP和UDP网络蠕虫,它们的生命周期,方法选择目标受害者,可能会影响其传播速度的关键参数。

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