DocumentCode
3294490
Title
Anomaly detection approach using Hidden Markov Model
Author
Dorj, E. ; Altangerel, Erdenebaatar
Author_Institution
CSMS/Comput. Sci., MUST, Ulaanbaatar, Mongolia
Volume
2
fYear
2013
fDate
June 28 2013-July 1 2013
Firstpage
141
Lastpage
144
Abstract
Anomaly detection is an important problem that has been researched within diverse research areas. Numerous methods and approaches based on Hidden Markov Model regarding the anomaly detection have been proposed and reported in the literature. However, the potential applications using Hidden Markov Model classification based anomaly detection technique have not yet been fully explored and still in its infancy. This paper investigates the capabilities the use of Hidden Markov Model in anomaly detection for discrete sequences.
Keywords
hidden Markov models; security of data; anomaly detection; discrete sequences; hidden Markov model; Atmospheric modeling; Bayes methods; Computational modeling; Hidden Markov models; Indexes; Markov processes; NASA; Anomaly detection; Baum-Welch algorithm; Data discretization; Hidden Markov Model; Likelihood;
fLanguage
English
Publisher
ieee
Conference_Titel
Strategic Technology (IFOST), 2013 8th International Forum on
Conference_Location
Ulaanbaatar
Print_ISBN
978-1-4799-0931-5
Type
conf
DOI
10.1109/IFOST.2013.6616874
Filename
6616874
Link To Document