In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesi...In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesian attack graph model is established, which takes attack benefits and threat factors into consideration. Compared with the existing attack graph models, it can better describe the website's security risk. Then, the improved Bayesian attack graph is constructed with optimized website attack graph, attack benefit nodes, threat factor nodes and the local conditional probability distribution of each node, which is calculated accordingly. Finally, website's attack probability and risk value are calculated on the level of nodes, hosts and the whole website separately. The experimental results demonstrate that the risk evaluating method based on I-BAG model proposed is a effective way for assessing the website security risk.展开更多
Industrial sites are selected in many of the developing countries without taking into consideration some pertinent criteria that are directly affecting the sustainability of such industries in the locations after comm...Industrial sites are selected in many of the developing countries without taking into consideration some pertinent criteria that are directly affecting the sustainability of such industries in the locations after commissioning. Industries are located in some areas based on political influence rather than facility availability that support industry＇s productivity. In this study a criteria model was developed for assessing the present industrial site locations based on predetermined influencing factors called criteria. In the model provision was made for the sorting out of deficient influencing factors for the purpose of upgrading them to the minimum level required called benchmark through periodical allocation of appropriate funds. In validating the model, identified industrial sites located in selected States of Nigeria were surveyed. Data were collected on factors such as power supply, marketability and raw malerial availability which were considered influential to the sustainability of industry＇s site in the respective areas. Data were analysed for the criteria identified along the line of industrial categories which included large-, medium-, and small-scales. Benchmarks, as well as levels of criteria in the respective regions were determined using statistical weighted averages and the results were used as input to the model. The output results of the model showed that none of the industrial sites located in the selected six States of the South-Western Nigeria were productivity supportive. However, a good performance was achieved in a site with a budget of S13 million （US Dollars） for the upgrading of the deficient facilities in the next three years.展开更多
基金supported by the project of the State Key Program of National Natural Science Foundation of China (No. 90818021)supported by a grant from the national high technology research and development program of China (863program) (No.2012AA012903)
文摘In order to protect the website and assess the security risk of website, a novel website security risk assessment method is proposed based on the improved Bayesian attack graph(I-BAG) model. First, the Improved Bayesian attack graph model is established, which takes attack benefits and threat factors into consideration. Compared with the existing attack graph models, it can better describe the website's security risk. Then, the improved Bayesian attack graph is constructed with optimized website attack graph, attack benefit nodes, threat factor nodes and the local conditional probability distribution of each node, which is calculated accordingly. Finally, website's attack probability and risk value are calculated on the level of nodes, hosts and the whole website separately. The experimental results demonstrate that the risk evaluating method based on I-BAG model proposed is a effective way for assessing the website security risk.
文摘Industrial sites are selected in many of the developing countries without taking into consideration some pertinent criteria that are directly affecting the sustainability of such industries in the locations after commissioning. Industries are located in some areas based on political influence rather than facility availability that support industry＇s productivity. In this study a criteria model was developed for assessing the present industrial site locations based on predetermined influencing factors called criteria. In the model provision was made for the sorting out of deficient influencing factors for the purpose of upgrading them to the minimum level required called benchmark through periodical allocation of appropriate funds. In validating the model, identified industrial sites located in selected States of Nigeria were surveyed. Data were collected on factors such as power supply, marketability and raw malerial availability which were considered influential to the sustainability of industry＇s site in the respective areas. Data were analysed for the criteria identified along the line of industrial categories which included large-, medium-, and small-scales. Benchmarks, as well as levels of criteria in the respective regions were determined using statistical weighted averages and the results were used as input to the model. The output results of the model showed that none of the industrial sites located in the selected six States of the South-Western Nigeria were productivity supportive. However, a good performance was achieved in a site with a budget of S13 million （US Dollars） for the upgrading of the deficient facilities in the next three years.
