DocumentCode :
1852748
Title :
Research on network security real-time risk assessment model
Author :
Chen, Gengyuan
Author_Institution :
Int. Sch., Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
2
fYear :
2010
fDate :
1-3 Aug. 2010
Abstract :
Information Security Risk Assessment is a means of providing decision-makers with information needed to understand the vulnerabilities and threats factors that can negatively influence operations and outcomes and make informed judgments concerning the extent of actions needed to reduce risk. The first is to improve the parameter learning algorithm of CTHMMs. We compare it to the previous using the following indicators: pattern recognition and error rate as well as algorithm complexity. Improved algorithm is a contribution to the Markov theory. Stochastic statistical model pertain to discrete event dynamic system has recently become a familiar tool in computer and network security research. The importance and significance is difficult to express with ordinary glossary.
Keywords :
Markov processes; discrete event systems; real-time systems; risk management; security of data; CTHMM; Markov theory; discrete event dynamic system; information security; network security real-time risk assessment model; parameter learning algorithm; Algorithm design and analysis; Data models; Hidden Markov models; Markov processes; Risk management; Security; Sensors; Real-Time Risk Assessment; States; network security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics and Information Engineering (ICEIE), 2010 International Conference On
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-7679-4
Electronic_ISBN :
978-1-4244-7681-7
Type :
conf
DOI :
10.1109/ICEIE.2010.5559746
Filename :
5559746
Link To Document :
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