A Improved Network Risk Assessment Model Based on HMM

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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 (ICCSEE 2013)
PB  - Atlantis Press
SP  - 476
EP  - 479
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.122
DO  - 10.2991/iccsee.2013.122
ID  - Chen2013/03
ER  -