Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering

A Improved Network Risk Assessment Model Based on HMM

Authors
Yong Yan Chen, Wei Dai
Corresponding Author
Yong Yan Chen
Available Online March 2013.
DOI
https://doi.org/10.2991/iccsee.2013.122How to use a DOI?
Keywords
HMM model, relationship of nodes, bayesian algorithm
Abstract
In HMM risk assessment of network, relationship between the nodes is the key part to compute the state transition matrix. The change of IDS alarm level has property of randomness. To calculate the value of the IDS alarm as the input of HMM is based on the Bayesian algorithm model. Using HMM model, probability of attack successful is computed when length of attack sequence is varied. The experimental evidences show new method is veracity and validity.
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Proceedings
Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
Part of series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-61-1
DOI
https://doi.org/10.2991/iccsee.2013.122How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yong Yan Chen
AU  - Wei Dai
PY  - 2013/03
DA  - 2013/03
TI  - A Improved Network Risk Assessment Model Based on HMM
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccsee.2013.122
DO  - https://doi.org/10.2991/iccsee.2013.122
ID  - Chen2013/03
ER  -