TY - GEN
T1 - An Improved Assessment Method for the Network Security Risk
AU - Hu, Jingjing
AU - Guo, Shuangshuang
AU - Meng, Fankun
AU - Hu, Dongsheng
AU - Shi, Zhiyu
N1 - Publisher Copyright:
© 2019, Springer Nature Switzerland AG.
PY - 2019
Y1 - 2019
N2 - Network security risk assessment is very important to improve the network security. The existing network security risk assessment method based on HMM is not enough to estimate the network risk, because some methods manually set model parameters or calculate the overall network risk only using the host node. Therefore, a network security risk assessment method based on improved Hidden Markov Model (I-HMM) is proposed. Firstly, the observation sequence acquisition of the model is optimized by calculating the quality of the sampling period alarm. Secondly, the model parameters are improved through the learning algorithm. Finally, the reliability and accuracy of the network security risk measurement are increased by introducing the network node correlation. The final results by the simulation experiment shows that the network security risk assessment method based on I-HMM has certain applicability, can accurately reflect the security risk status of the network, and can distinguish the influence degree of different hosts on network risk.
AB - Network security risk assessment is very important to improve the network security. The existing network security risk assessment method based on HMM is not enough to estimate the network risk, because some methods manually set model parameters or calculate the overall network risk only using the host node. Therefore, a network security risk assessment method based on improved Hidden Markov Model (I-HMM) is proposed. Firstly, the observation sequence acquisition of the model is optimized by calculating the quality of the sampling period alarm. Secondly, the model parameters are improved through the learning algorithm. Finally, the reliability and accuracy of the network security risk measurement are increased by introducing the network node correlation. The final results by the simulation experiment shows that the network security risk assessment method based on I-HMM has certain applicability, can accurately reflect the security risk status of the network, and can distinguish the influence degree of different hosts on network risk.
KW - Assessment model
KW - Hidden Markov Model
KW - Network security
KW - Risk
UR - http://www.scopus.com/inward/record.url?scp=85076141512&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-34139-8_5
DO - 10.1007/978-3-030-34139-8_5
M3 - Conference contribution
AN - SCOPUS:85076141512
SN - 9783030341381
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 42
EP - 52
BT - Smart Computing and Communication - 4th International Conference, SmartCom 2019, Proceedings
A2 - Qiu, Meikang
PB - Springer
T2 - 4th International Conference on Smart Computing and Communications, SmartCom 2019
Y2 - 11 October 2019 through 13 October 2019
ER -
