DocumentCode :
1843506
Title :
Research on TCP Initial Sequence Number Prediction Method Based on Adding-weight Chaotic Time Series
Author :
Zeng, Fanping ; Yin, Kaitao ; Chen, Minghui
Author_Institution :
Dept. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei
fYear :
2008
fDate :
18-21 Nov. 2008
Firstpage :
1511
Lastpage :
1515
Abstract :
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.
Keywords :
statistical distributions; telecommunication security; time series; transport protocols; TCP initial sequence number prediction method; TCP protocol stack; TCP sequence number spoofing; adding-weight chaotic time series; neighboring phase point; pseudo-random distribution; Accuracy; Chaos; Chaotic communication; Internet; Prediction algorithms; Prediction methods; Predictive models; Protocols; Space technology; Time series analysis; Adding-weight Chaotic Time Series; Prediction; TCP initial sequence number; spoofing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3398-8
Electronic_ISBN :
978-0-7695-3398-8
Type :
conf
DOI :
10.1109/ICYCS.2008.267
Filename :
4709197
Link To Document :
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