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