An Information Intelligent Search Method for Computer Forensics Based on Text Similarity
Pages 79 - 83
Abstract
Data analysis is one of the research hotspots in the field of computer forensics. In the file system of the computer, there are files created and browsed by the user. The file contains information such as user information and transaction processing. This information can help forensic agency solve query valuable information, computer forensics, and other illegal and criminal activities. But how to find valuable information from a large amount of computer data is a major challenge. In order to achieve this goal, this paper proposes an information intelligent search method for computer forensics based on text similarity. This method is divided into two processes. First, information extraction technology is used to obtain the summary and keyword information of each text file on the computer. Then combine text similarity and keyword search algorithm to realize the search and analysis of semantic text. The experimental results show that this method can effectively solve the defects of traditional pattern matching algorithm and improve the effect of automatic data analysis.
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- An Information Intelligent Search Method for Computer Forensics Based on Text Similarity
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Published In
January 2020
160 pages
ISBN:9781450377447
DOI:10.1145/3377644
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- NJU: Nanjing University
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Association for Computing Machinery
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Published: 26 February 2020
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ICCSP 2020
ICCSP 2020: 2020 4th International Conference on Cryptography, Security and Privacy
January 10 - 12, 2020
Nanjing, China
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