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Many computers have been infected with the computer anomalies. The availability of network security visualization tools greatly facilitate to perceive computer users from being affected by these anomalies. Many of the network security visualization tools are designed particularly for users with advanced network security knowledge even though the tools are indispensable by various types of computer users. We proposed an expert-aware approach to designing a system which formulated with a large amount of network data or high-dimensional data and adaptive for different types of users. In the preliminary phase, we construct an expertise classification algorithm which provides a default setting for the expert-aware network security visualization tool. The tool will learn from continual user feedbacks in order to statistically satisfy the needs of majority tool users. The expert-aware approach looks at the users' expertise level in network security and adapts the visualization views that are best suitable for the user. Initial results of the implementation of the system show that it is capable of representing several of network security data not only from small network but also complicated high dimensional network. Our main focus in this paper is to fulfill different requirements from different computer users.