Research on TCP Initial Sequence Number Prediction Method Based on Adding-weight Chaotic Time Series
Fanping Zeng, Kaitao Yin, Ming‐Hui Chen · 2008
Initiating TCP sequence number spoofing through predicting TCP initial sequence number has become a hidden trouble on TCP protocol. There are a variety of TCP ISN prediction methods. Based on the analysis of pseudo-random distribution of ISN in TCP protocol stack, this paper brings chaotic adding-weight dynamic local predict model in TCP ISN prediction by setting up the weights of the neighboring phase point in chaos time series. The experiment results indicate that the predict algorithm has a high predict accuracy, and the method also increases the feasibility of TCP reset attack.