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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 10, 2013.
Abstract: This paper discusses in detail the theory of non-optimum analysis on network systems. It points out that the main problem of exploring indefinite networks’ optimum lies in the lack of non-optimum analysis on the network system. The paper establishes the syndrome and empirical analysis based on the non-optimum category of the network security. At the same time, it also puts forward the non-optimum measurement of the network security along with non-optimum tracing and self-organization of the network systems. The formation of non-optimum network serves as the basis for existence of optimum network. Besides, the level of network security can be measured from the non-optimum characteristics analysis of network systems. By summing the practice, this paper has also come at the minimum non-optimum principle of the network security optimization, established the relationship between risk and non-optimum, and put forward evaluation method about trust degree of network security. Finally, according to the previous practice of network security risk management, a kind of network security optimization has been developed to approach the relationship of non-optimum and risk.
Ping He. “Risk Assessment of Network Security Based on Non-Optimum Characteristics Analysis”. International Journal of Advanced Computer Science and Applications (IJACSA) 4.10 (2013). http://dx.doi.org/10.14569/IJACSA.2013.041012
@article{He2013,
title = {Risk Assessment of Network Security Based on Non-Optimum Characteristics Analysis},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041012},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041012},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {10},
author = {Ping He}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.