Abstract
Computer forensics is a kind of pragmatic computer technology to obtain survey and analyze the cyber crime. It mainly contains three procedures which are the obtaining, analysis and submitting of evidence. Among them, the analysis is of most importance. Due to the complex and vague characteristic of the practical data, the analysis of evidence has not achieved ideal outcome so far. The thesis applies the principal component analysis (PCA) method and the fuzzy cluster thoughts to attain a more ideal analysis result.
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References
Wang, D., Hao, L.: Application of Ant Colony Clustering in Computer Forensics. In: 2009 Second International Conference on Information and Computing Science, pp. 87–90 (2009)
Mechtri, L., Djemili Tolba, F., Ghoualmi, N.: Intrusion detection using principal component analysis. In: 2010 Second International Conference on Engineering Systems Management and Its Applications (ICESMA), pp. 1–6 (2010)
Lozano-Ortiz, C.A., Muniz, A.M.S., Nadal, J.: Human gait classification after lower limb fracture using Artificial Neural Networks and principal component analysis. In: 2010 Annual International Conference on Engineering in Medicine and Biology Society (EMBC), pp. 1413–1416. IEEE (2010)
Izakian, H., Abraham, A., Snášel, V.: Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization. In: 2009 World Congress on Nature & Biologically Inspired Computing (NaBIC 2009), pp. 1690–1694 (2009)
Ayech, M.W., El Kalti, K., El Ayeb, B.: Image Segmentation Based on Adaptive Fuzzy-C-Means Clustering. In: 20th International Conference on Pattern Recognition (ICPR 2010), pp. 2306–2309 (2010), doi:10.1109/ICPR.2010.564
Hettich, S., Bay, S.D.: The UCI KDD Archive. Department of Information and Computer Science. University of California, Irvine (1999), http://kdd.ics.uci.edu
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Zhong, Z., Song, Q., Ni, B. (2012). Application of Fuzzy C-Means Clustering Based on Principal Component Analysis in Computer Forensics. In: Zhang, Y. (eds) Future Communication, Computing, Control and Management. Lecture Notes in Electrical Engineering, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27314-8_2
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DOI: https://doi.org/10.1007/978-3-642-27314-8_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27313-1
Online ISBN: 978-3-642-27314-8
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