In view of the shortcomings big data security and privacy protection in cloud environment, a architecture was proposed this paper. Based on blockchain technology trusted center, adopts ideas authentication, intrusion detection, segmentation, decentralized storage applies Amazon AWS log processing service, PairHand user authentication protocol, Hadoop analysis framework to realize dig environmen...

Lockheed Martin Canada is currently developing on its blackboard-based architecture a distributed data fusion system that will be used to study the performance of various information sharing processes between collaborative platforms. The requirements for this project are consistent with those of the NCW that are to insure a timely exchange of secured (uncorrupted) information through the networ...

This thesis describes a client-server toolkit called Sync Kit that demonstrates how client-side database storage can improve the performance of data intensive websites. Sync Kit is designed to make use of the embedded relational database defined in the upcoming HTML5 standard to offload some data storage and processing from a web server onto the web browsers to which it serves content. Sync Kit...

The data exploitation system described within is being designed to take advantage of the existence of terabytes (or more) of data sets that have been sent down from various Air Force satellites that can be used to detect previously unknown anomalies that occurred while the satellites were operational. This wealth of information can then be used and exploited to build more reliable and robust fu...

Data fusion is an important component of applications for systems that use correlated data from multiple sources to determine the state of a system. As the state of the system being monitored and available resources change, the general data fusion framework should change dynamically based on the current environment and available resources in the system. To achieve this goal, we have proposed a ...

In this report we present the architecture of the overall data mining system and detail the main functionalities of its visual interface. The semantics of the visual operators is formally given in terms of the language of the corresponding mining techniques, namely metarules, association rules, clustering, approximate similarity queries.