DocumentCode
526581
Title
Notice of Retraction
The application of fuzzy Markov chains in the analysis of internet glance behavior
Author
Jin Li ; Ping He
Author_Institution
Dept. of Inf., Liaoning Police Acad., Dalian, China
Volume
7
fYear
2010
fDate
9-11 July 2010
Firstpage
608
Lastpage
611
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As an effective tool for the analysis of internet glance behavior, Markov chain prediction method has an optimistic future in the applications such as internet intrusion detection, information security evaluation, etc.. However, it is usually difficult to get satisfactory results due to the small quantity of the state partition while dealing with actual problems. Applying the concept of fuzzy transition probability, and the calculating method of using trapezoid distribution to decide the membership degree, the paper has overcome the above shortcomings, thus the predicting result meets the actual situation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
As an effective tool for the analysis of internet glance behavior, Markov chain prediction method has an optimistic future in the applications such as internet intrusion detection, information security evaluation, etc.. However, it is usually difficult to get satisfactory results due to the small quantity of the state partition while dealing with actual problems. Applying the concept of fuzzy transition probability, and the calculating method of using trapezoid distribution to decide the membership degree, the paper has overcome the above shortcomings, thus the predicting result meets the actual situation.
Keywords
Internet; Markov processes; fuzzy set theory; probability; security of data; statistical distributions; Internet glance behavior analysis; Internet intrusion detection; fuzzy Markov chain prediction method; fuzzy transition probability; information security evaluation; trapezoid distribution; Probability; Publishing; Markov chains; evaluation of fuzzy markov; fuzzy transition probability; glance behavior;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5564633
Filename
5564633
Link To Document