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Enhancing Digital Forensic Analysis through Document Clustering

B.Vidhya, R.Priya Vaijayanthi

Digital forensic is the process of uncovering and interpreting process of uncovering and interpreting electronic data for use in a court of law. The goal of the process is to preserve any evidence in its most original form while performing a structured investigation by collecting identifying and validating the digital information for the purpose of reconstructing past events. Digital forensics deals with the analysis of artifacts on all types of digital devices. The role of digital forensics is to facilitate the investigation of criminal activities that involve digital devices, to preserve, gather, analyze and provide scientific and technical evidence, and to prepare the documentation for law enforcement authorities. Clustering methods can be used to automatically group the retrieved documents into a list of meaningful categories. Document clustering involves descriptors and descriptor extraction. Descriptors are sets of words that describe the contents within the cluster. Document cluster is generally considered to be a centralized process. Example of document clustering is web document clustering. Application of document clustering can be categorized to two types that are online and offline. Seized digital devices can provide precious information and evidence about facts. Large amount of data analyzed. Digital tools supported. In this paper do the work of extracting document and get a brief knowledge.