ELEVATING FORENSIC INVESTIGATION SYSTEM FOR FILE CLUSTERING

Prashant D. Abhonkar, Preeti Sharma

Abstract: In computer forensic investigation, thousands of files are usually surveyed. Much of the data in those files consists of formless manuscript, whose investigation by computer examiners is very tough to accomplish. Clustering is the unverified organization of designs that is data items, remarks, or feature vectors into groups (clusters). To find a noble clarification for this automated method of analysis are of great interest. In particular, algorithms such as K-means, K-medoids, Single Link, Complete Link and Average Link can simplify the detection of new and valuable information from the documents under investigation. This paper is going to present an tactic that applies text clustering algorithms to forensic examination of computers seized in police investigations using multithreading technique for data clustering.

Keywords: Clustering, forensic computing, text mining, multithreading.

DOI: https://doi.org/10.15623/ijret.2014.0303074