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For network analysts, understanding how traffic flows through a network is crucial to network management and forensics such as network monitoring, vulnerability assessment and defence. In order to understand how traffic flows through a network, network analysts typically access multiple, disparate data sources and mentally fuse this information. Providing some sort of automated support is crucial for network management. However, information about the quality of the network data sources is essential in order to build analyst's trust in automated tools. This paper presents SydNet, a novel Linked Data quality assessment framework which allows analysts to define quality dimensions and metrics which provide an accurate reflection of the quality of the data sources. The SydNet architecture also provides a number of novel fusion heuristics which can be used to fuse data from various network data sources. We …