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Mehdi Chehel Amirani, Mohsen Toorani and Sara Mihandoost Feature-based Type Identification of File Fragments Security and Communication Networks 6

Article first published online: 17 APR 2012 | DOI: 10.1002/sec.553

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In this paper, a content-based method for type identification of computer files and file fragments is proposed. The basic feature space is the histogram of byte values. Principle component analysis and neural networks have been used for the feature extraction. Extracted features are then applied to a classifier for the type detection. The proposed method has very good accuracy and speed in comparison with related works.

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