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Application of Fuzzy C-Means Clustering Algorithm Based on Particle Swarm Optimization in Computer Forensics - 2012

Application of Fuzzy C-Means Clustering Algorithm Based on Particle Swarm Optimization in Computer Forensics

Research Area:  Digital Forensics

Abstract:

Computer forensics is the technology of applying computer technology to access, investigate and analysis the evidence of computer crime. It mainly include the process of determine and obtain digital evidence, analyze and take data, file and submit result. And the data analysis is the key link of computer forensics. As the complexity of real data and the characteristics of fuzzy, evidence analysis has been difficult to obtain the desired results. This paper applies fuzzy c-means clustering algorithm based on particle swarm optimization (FCMP) in computer forensics, and it can be more satisfactory results.

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Author(s) Name:  Deguang Wang, Baochang Han, Ming Huang

Journal name:  Physics Procedia

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Publisher name:  ELSEVIER

DOI:  10.1016/j.phpro.2012.02.177

Volume Information:  Volume 24, Part B, 2012, Pages 1186-1191