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- W68310039 abstract "Due to the increasingly massive amounts of data that need to be analyzed in digital forensic investigations, it is necessary to automatically recognize suspect files and filter out non-relevant files. To achieve this goal, digital forensic practitioners employ hashing algorithms to classify files into known-good, known-bad and unknown files. However, a typical personal computer may store hundreds of thousands of files and the task becomes extremely time-consuming. This paper attempts to address the problem using a framework that speeds up processing by using multiple threads. Unlike a typical multithreading approach, where the hashing algorithm is performed by multiple threads, the proposed framework incorporates a dedicated prefetcher thread that reads files from a device. Experimental results demonstrate a runtime efficiency of nearly 40% over single threading." @default.
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- W68310039 date "2013-01-01" @default.
- W68310039 modified "2023-09-27" @default.
- W68310039 title "Reducing the Time Required for Hashing Operations" @default.
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- W68310039 doi "https://doi.org/10.1007/978-3-642-41148-9_7" @default.
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