Web service recommendation is one of the most important fi elds of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown Qo S property values and ...Web service recommendation is one of the most important fi elds of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown Qo S property values and the evaluation of overall Qo S according to user preferences. Aiming to address these two problems and their current challenges, we propose two efficient approaches to solve these problems. First, unknown Qo S property values were predicted by modeling the high-dimensional Qo S data as tensors, by utilizing an important tensor operation, i.e., tensor composition, to predict these Qo S values. Our method, which considers all Qo S dimensions integrally and uniformly, allows us to predict multi-dimensional Qo S values accurately and easily. Second, the overall Qo S was evaluated by proposing an efficient user preference learning method, which learns user preferences based on users' ratings history data, allowing us to obtain user preferences quantifiably and accurately. By solving these two core problems, it became possible to compute a realistic value for the overall Qo S. The experimental results showed our proposed methods to be more efficient than existing methods.展开更多
For most current Web Service access control methods, Web Service providers create a series of access control roles based on specified attributes. Only by meeting all the roles can a subject obtain the access to necess...For most current Web Service access control methods, Web Service providers create a series of access control roles based on specified attributes. Only by meeting all the roles can a subject obtain the access to necessary operations and resources. However, because of the dynamic and open traits of Web Services, it is difficult for Web Service providers to work out an access control policy with moderate intensity and to realize a satisfactory balance between protecting the security of resources and maintaining the service reachable rate. To provide a solution to the above problem, this paper proposed a trust compensation access control method based on the Attribute-Based Access Control model. Our main contributions include a formal description of the access control method, a method to calculate the attribute trust degree based on time decay, and the trust compensation value of the attribute trust degree, as well as a new Service Oriented Architecture （SOA） architecture and its procedures based on a detailed trust compensation access control method.展开更多
基金supported by the Natural Science Foundation of Beijing under Grant No.4132048NSFC (61472047),and NSFC (61202435)
文摘Web service recommendation is one of the most important fi elds of research in the area of service computing. The two core problems of Web service recommendation are the prediction of unknown Qo S property values and the evaluation of overall Qo S according to user preferences. Aiming to address these two problems and their current challenges, we propose two efficient approaches to solve these problems. First, unknown Qo S property values were predicted by modeling the high-dimensional Qo S data as tensors, by utilizing an important tensor operation, i.e., tensor composition, to predict these Qo S values. Our method, which considers all Qo S dimensions integrally and uniformly, allows us to predict multi-dimensional Qo S values accurately and easily. Second, the overall Qo S was evaluated by proposing an efficient user preference learning method, which learns user preferences based on users' ratings history data, allowing us to obtain user preferences quantifiably and accurately. By solving these two core problems, it became possible to compute a realistic value for the overall Qo S. The experimental results showed our proposed methods to be more efficient than existing methods.
文摘For most current Web Service access control methods, Web Service providers create a series of access control roles based on specified attributes. Only by meeting all the roles can a subject obtain the access to necessary operations and resources. However, because of the dynamic and open traits of Web Services, it is difficult for Web Service providers to work out an access control policy with moderate intensity and to realize a satisfactory balance between protecting the security of resources and maintaining the service reachable rate. To provide a solution to the above problem, this paper proposed a trust compensation access control method based on the Attribute-Based Access Control model. Our main contributions include a formal description of the access control method, a method to calculate the attribute trust degree based on time decay, and the trust compensation value of the attribute trust degree, as well as a new Service Oriented Architecture （SOA） architecture and its procedures based on a detailed trust compensation access control method.
