We report a study on the automatic learning of file classification using byte sub-stream kernels that capture these low-level structures.
We report a study on the automatic learning of file classification using byte sub-stream kernels that capture these low-level structures.
The ability to automatically classify files based on their low-level, short-range structures is of particular importance in computer forensics.
Jun 1, 2004 · We automatically discover byte-level patterns in a file by extracting a byte sequence feature map and use a suffix trie data structure to ...
We report a study on the automatic learning of file classification using byte sub-stream kernels that capture these low-level structures. We automatically ...
Bibliographic details on File classification using byte sub-stream kernels.
File classification using byte sub-stream kernels. de Vel, O. Digital Investigation 1(2): 150-157. ISSN/ISBN: 8756-0410. 2004. DOI: 10.1016/j.diin.2004.03.002
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This article proposes the use of string kernels, a novel way of computing document similarity based of matching non-consecutive subsequences of characters ...
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Mar 30, 2023 · High-level overview of the throughput for compute and memory resources of the GPU. For each unit, the throughput reports the achieved percentage ...