Data is the basis for cyber security research. Correct understanding and rapid access to rich and reliable data is a good beginning of our research work. In this paper we present a novel classification method of cyber security data. In addition, we collect and list some datasets, which can better help you to carry out research.
With the increasing scale of software system, the interaction between software elements becomes more and more complex, which lead to the increased dirty data in running software system. This may reduce the system performance and cause system collapse. In this paper, we proposed a discovery method of the dirty data transmission path based on complex network. Firstly, the binary file is decompiled and the function call graph is drawn by using the source code. Then the software structure is described as a weighted directed graph based on the knowledge of complex network. In addition, the dirty data node is marked by using the power-law distribution characteristics of the scale-free network construction of complex network chart. Finally, we found the dirty data transmission path during software running process. The experimental results show the transmission path of dirty data is accurate, which confirmed the feasibility of the method.
The issue on finding an effective evaluation method on software structural stability is rarely touched upon in software security research. An assessment method of software microstructural stability was developed by Khalil in 2002. A new evaluation method on software structural stability is proposed in this paper, which is based on Motifs according to the theory of complex networks. Average shortest path length comparison and clustering coefficient with degree distribution are used in the method, in which the key evaluation indexes are used to analyze software structural stability. The comparison experiments have been done between the proposed method and Khalil’s method. 10 real software systems of different sizes and types are selected in the experiments to verify the proposed evaluation method. The result shows that the proposed method is correct and effective.
In this paper, we combine the complex network theory and the traditional software structure metrology to propose a new model for the study of the structural characteristics of the software---- Multi-dimensional measurement model of the software structure properties. The multi-dimensional measurement model of the software structure properties is divided into three parts. Each part has their own properties. In this model, the system is abstracted into a network model in the first step. Then we design the metric parameters considering both the complex network theory and the Object-Oriented software research and also give the definition and calculation method of these metric parameters. And on this basis we use the advantages of eclipse and complex network simulation tool pajek to calculate the metrics parameters designed before. Then give explanation to the experimental results which can demonstrate the reliability of the new model, which has also made a solid foundation for the following study of the software structure properties.
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