Dynamic Information Flow Tracking (DIFT) is a powerful technique that can protect unmodified binaries from a broad range of vulnerabilities such as buffer overflow and code inj...
Meltem Ozsoy, Dmitry Ponomarev, Nael B. Abu-Ghazal...
One problem with the adaptive tracking is that the data that are used to train the new target model often contain errors and these errors will affect the quality of the new target...
Outlier detection in vehicle traffic data is a practical problem that has gained traction lately due to an increasing capability to track moving vehicles in city roads. In contrast...
We propose a novel structure, the data-sharing graph, for characterizing sharing patterns in large-scale data distribution systems. We analyze this structure in two such systems a...
Our work is motivated by the problem of managing data on storage devices, typically a set of disks. Such high demand storage servers are used as web servers, or multimedia servers...