Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Pei‐Li Qiao"'
Publikováno v:
IEEE Access, Vol 6, Pp 9404-9419 (2018)
In the technology of wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has attracted attention in the wireless sensor field. It can detect and correct the faults of sensor nodes in time to improve the accura
Externí odkaz:
https://doaj.org/article/84bb936b547449b688a04d00fa7aee0d
Publikováno v:
ETRI Journal, Vol 39, Iss 4, Pp 592-604 (2017)
Intrusion detection is very important for network situation awareness. While a few methods have been proposed to detect network intrusion, they cannot directly and effectively utilize semi‐quantitative information consisting of expert knowledge and
Externí odkaz:
https://doaj.org/article/397b7541ba1246fa88e6d974ae14dbbc
Autor:
Hang Wei, Pei-Li Qiao
Publikováno v:
Journal of Control Science and Engineering, Vol 2016 (2016)
A reliability assessment method based on evidential reasoning (ER) rule and semiquantitative information is proposed in this paper, where a new reliability assessment architecture including four aspects with both quantitative data and qualitative kno
Externí odkaz:
https://doaj.org/article/881bf66a8cf24ad3b1818b2c8b1fcfab
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 48:1649-1655
It is important to predict the hidden behavior of a complex system. In the existing models for predicting the hidden behavior, the hidden belief rule base (HBRB) is an effective model which can use qualitative knowledge and quantitative data. However
Publikováno v:
Microelectronics Reliability. 87:33-51
With the wide applications of wireless sensor network (WSN), its reliability evaluation has been attracted more attention. The reliability of a WSN is affected mainly by internal and external factors, which include internal faults and external attack
Publikováno v:
Computers & Security. 73:207-218
To predict the security state of cloud computing systems, a belief rule base (BRB) assessment model based on the impact of external and internal environments is proposed in this paper. The proposed BRB-based model includes two BRBs denoted as BRB_1 a
Publikováno v:
IEEE Access, Vol 6, Pp 9404-9419 (2018)
In the technology of wireless sensor network (WSN), wireless sensor fault diagnosis based on fusion data analysis has attracted attention in the wireless sensor field. It can detect and correct the faults of sensor nodes in time to improve the accura
Publikováno v:
IEEE Access, Vol 6, Pp 11907-11920 (2018)
Considering the reliability of the cloud computing system, this paper aims to predict the security state with multiple large-scale attributes in cloud computing system. A double-layer method for predicting the security state of cloud computing system
Autor:
Guan-Yu Hu, Pei-Li Qiao
Publikováno v:
IEEE Communications Letters. 20:914-917
To predict network security situations better using expert knowledge and quantitative data, a new forecasting model known as cloud belief rule base (CBRB) model is proposed. The CBRB model utilizes the cloud model to describe the referential point of
Publikováno v:
Mathematical Problems in Engineering, Vol 2016 (2016)
It is important to determine the security situations of the all-optical network (AON), which is more vulnerable to hacker attacks and faults than other networks in some cases. A new approach of the security situation assessment to the all-optical net