to handle key management, increasing overhead complexity. We present the ZeroVis framework that provides confidentiality for data stored in a cloud environment without requiring a third party key man-ager. It combines fine-grained access control with the ability to search over encrypted data to allow

exploiting user hierarchy and sensor heterogeneity, which is quite a practical issue especially when deploying WSNs in mission-critical application scenarios. In this paper, we propose an efficient secret-key cryptography-based (SKC) fine-grained data access control scheme for securing both distributed data

in nature, such as different foodstuffs and liquids with various tastes. These rewards are necessary for survival, their motivational value can be determined by controlled access, and they can be delivered in quantifiable amounts in laboratory situations. The other main vegetative reward, sex, is impossible

goals, achieved through the implementation of tasks in rationalized, vertical chains of command and control. But for the rst time, the introduction of new information/communication technologies allows networks to keep their exibility and adaptability, thus asserting their evolutionary nature. While

Current large-scale topology mapping systems require multiple days to characterize the Internet due to the large amount of probing traffic they incur. The accuracy of maps from existing systems is unknown, yet empirical evidence suggests that additional fine-grained probing exposes hidden links

the control channel. This work is to understand the consequence of large-scale “botnet probes ” through investigating the ways to analyze collections of malicious probing traffic.In such events, a whole collection of remote hosts together probes the address space monitored by a sensor in somewhat a

inconsistencies, then permanently divergent state can result. In this paper, we describe and evaluate the design and implementation of an access-control system for weakly consistent replication where peer replicas are not uniformly trusted. Our system allows for the specification of fine-grained access control

. Magnet’s link estimator addresses the inaccuracies in link estimation by using feedback from both the data and control planes, using information from multiple layers through narrow, platform-independent interfaces. Second, Magnet addresses link dynamics by using the Trickle algorithm for control traffic

purposes. The considerations of time and value-adding activity with roles, policy delegation relation in a distributed context, and fine-grained control at data set level in the model are to adhere to the general least privilege principle in access control. Heterogeneous design data are exchanged

are client-server based, which is feasible for relatively slow role-playing games. Those have modest bandwidth and latency requirements and are paid for by their customers. For MMOGs with higher realtime requirements and/or a smaller number of customers willing to pay, peer-to-peer networking seems to be a