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With an ever-increasing trend of cybercrimes and incidents due to software vulnerabilities and exposures, effective and proactive vulnerability management becomes imperative in modern organisations regardless large or small. Forecasting models leveraging rich historical vulnerability disclosure data undoubtedly provide important insights to inform the cyber community with the anticipated risks. In...
Beichen district of Tianjin, located in the important node of Beijing-Tianjin golden corridor and high-tech industry area of Jingjintang region, has strong industrial foundations, while it is still faced with the problems that traditional industries account for high proportion of the industrial structure, inefficient use of industrial land, lack of enterprise innovation ability and shortage of resources,...
This paper presents a new approach to user identity currently being explored within the SuperIdentity project and outlines the specific role that biometric measurements can contribute towards a modelling process. The SuperIdentity project aims to define a novel holistic model wherein the proven strengths of relationships between facets of identity are mapped. These facets are drawn from both real...
This paper calculates the ecological footprint, ecological capacity and ecological pressure index of Shaanxi Province from 1991 to 2011 by the method of ecological footprint. And it gets the ecological security level trend in 21 years of Shaanxi Province. Then the paper selects five different indicators to establish index system. The state index of social development in Shaanxi Province is calculated...
In this paper Beveridge-Nelson Decomposition is used to examine trend content of soybean purchase price of oil plant in northeast China and soybean future prices of DCE and CBOT, in order to uncover full information in soybean's price discovery process and avoid contemporaneous correlation. It was found that DCE price was consistently more imformative about the fundamental price of soybean because...
Based on the theoretical basis of stock price synchronicity, the paper examines the correlation between accounting information quality and information content of stock price by using the data of the year 2008–10 from Chinese stock market. And then the author examines the influence of institutional ownership of the equity to the correlation between accounting information quality and information content...
In the e-commerce transaction process, varieties of network fraud problems occurred frequently. A C2C service reputation evaluation model under Cloud computing is Proposed. Firstly, the paper analyzes the four factors impact reputation evaluation under the cloud computing environment, and analysis the weights of each factor quantitatively. Secondly, a method to calculate the long-time reputation,...
China's fictitious economy has been developing rapidly since 1990. Rapid expansion of scale of fictitious economy can make positive or negative impacts on real economy, so it needs to prevent over-development of fictitious economy taking negative influences to real economy. The coordination state of China's fictitious economy and real economy has been analyzed by grey correlation model based on the...
From the view of customers' perception, this paper analyzes the factors effecting online shopping, and combines with empirical analysis method for research. Gathering information by the questionnaire survey, we use statistical analysis, such as reliability analysis, validity analysis, regression analysis. These results show that questionnaire design is reasonable ,the reliability and validity are...
The ideas of cutting down interest rates to curb savings and promoting consumption is important for the implementation of macroeconomic policies. This paper establishes savings rate regression model and analyses the influence of interest rates on China's household savings since 1988. The study has found the impact of interest rates on household savings is uncertain, so it will be over-simplified if...
When one models dependence solely via correlations, portfolio allocation models can perform poorly. This motivates considering dependence measures other than correlation. Cointegration is one such measure that captures long-term dependence. In this paper we present a new method to simulate cointegrated sample paths using the vector auto-regressive-to-anything (VARTA) algorithm. Our approach relies...
Being the study on inner link of basis variables of securities exchange process, price and trading volume relationship research has practical significance to discovering market trading characteristic and operation regulation as well as provides theory guide to market trading mechanism improvement. Based on MDH, the authors carry out time division study on Shanghai securities market price and trading...
One of the assumptions is that market is perfect in traditional Markowitz's portfolio selection model. But it is inconsistent with reality. So we relax its assumptions by adding liquidity factors to study investors' portfolio choice. We perform empirical analysis based on China A-shares markets. These results show that there is a notable difference in portfolio choice behavior after adding liquidity...
The efficient and effective cooperation among the members of a virtual team is highly dependent on information sharing quality. In practice the accurate evaluation is an important premise to improve information sharing quality. In this paper, ten quality factors of information sharing are introduced, a specific and operational evaluation model is conducted, which can be used to evaluate and analyze...
The factors were analysed which affects the cash payback capacity of nonperforming asset pool. Correlation was analysed to the factors and there exists multicollinearity. All Kaiser Meyer Olkin measure (KMO measure) exceeded 0.5. It showed that the sample was adequate and suitable for principal component analysis. The contribution proportion of cumulative variance decided the principal components...
This paper investigates and simulates a coloured stochastic Petri nets model for depth evaluation intrusion detection. Network attack behaviors are very complexity sometimes, it is difficult to capture all of them. In this paper, we could realize what them happened with analyzing and simulating an intrusion. The experimental results demonstrated that the CSPN model approach was an efficient and helpful...
With the development of high rate data transmission technology via distribution line communication, the electric power, data, voice and video can be transferred in the same electric power distribution network, and the technology will be put in operation widely in the future. However the traditional technology of power line communication is not adaptable to the complex and harsh environment of distribution...
Previous work in automating insider threat detection has included top-down analysis and fusion of events from network and system monitors. Situation-awareness can extend the capability of such techniques to include observables outside of cyber-space. The application of situation-management to insider threats is becoming more practical due to the growing volume of different types of transactions and...
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