Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predom...Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predominant storage that is being in use currently, also paves way to various access control problems. Though there are various access control mechanisms such as RBAC, ABAC, they are designed on the user’s perspective such as the role held by the user or other attributes assigned to the user. A new access control mechanism called object relationship based access control (RoBAC) has been developed based on the relations held among the users. The policy decision of access control is based on the relationship among the classes followed in the Java programming. Results have shown that this model best suits various scenarios in the cloud environment, and it also shows that the time for making decision either to allow or to deny is reduced compared to the existing system.展开更多
A new technique using fuzzy in a recursive fashion is presented to deal with the Gaussian noise. In this technique, the keyframes and between frames are identified initially and the keyframe is denoised efficiently. T...A new technique using fuzzy in a recursive fashion is presented to deal with the Gaussian noise. In this technique, the keyframes and between frames are identified initially and the keyframe is denoised efficiently. This frame is compared with the between frames to remove noise. To do so the frames are partitioned into blocks;the motion vector is calculated;also the difference is measured using the dissimilarity function. If the blocks have no motion vectors in the block, the block of value is copied to the between frames otherwise the difference between the blocks is calculated and this value is filtered with temporal filtering. The blocks are processed in overlapping manner to avoid the blocking effect and also to reduce the additional edges created while processing. The simulation results show that the peak signal to noise ratio of the new technique is improved up to 1 dB and also the execution time is greatly reduced.展开更多
文摘Access control has made a long way from 1960s. With the advent changes of technologies pertaining to location transparency in storage of data, there arises different access control scenarios. Cloud storage, the predominant storage that is being in use currently, also paves way to various access control problems. Though there are various access control mechanisms such as RBAC, ABAC, they are designed on the user’s perspective such as the role held by the user or other attributes assigned to the user. A new access control mechanism called object relationship based access control (RoBAC) has been developed based on the relations held among the users. The policy decision of access control is based on the relationship among the classes followed in the Java programming. Results have shown that this model best suits various scenarios in the cloud environment, and it also shows that the time for making decision either to allow or to deny is reduced compared to the existing system.
文摘A new technique using fuzzy in a recursive fashion is presented to deal with the Gaussian noise. In this technique, the keyframes and between frames are identified initially and the keyframe is denoised efficiently. This frame is compared with the between frames to remove noise. To do so the frames are partitioned into blocks;the motion vector is calculated;also the difference is measured using the dissimilarity function. If the blocks have no motion vectors in the block, the block of value is copied to the between frames otherwise the difference between the blocks is calculated and this value is filtered with temporal filtering. The blocks are processed in overlapping manner to avoid the blocking effect and also to reduce the additional edges created while processing. The simulation results show that the peak signal to noise ratio of the new technique is improved up to 1 dB and also the execution time is greatly reduced.
