Title :
Anomaly detection approach using Hidden Markov Model
Author :
Dorj, E. ; Altangerel, Erdenebaatar
Author_Institution :
CSMS/Comput. Sci., MUST, Ulaanbaatar, Mongolia
fDate :
June 28 2013-July 1 2013
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;
Conference_Titel :
Strategic Technology (IFOST), 2013 8th International Forum on
Conference_Location :
Ulaanbaatar
Print_ISBN :
978-1-4799-0931-5
DOI :
10.1109/IFOST.2013.6616874