NDLI: Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection

Content Provider	IEEE Xplore Digital Library
Author	da Cruz Nassif, L.F. Hruschka, E.R.
Copyright Year	2011
Abstract	In computer forensic analysis, hundreds of thousands of files are usually examined. Much of those files consist of unstructured text, whose analysis by computer examiners is difficult to be performed. In this context, automated methods of analysis are of great interest. In particular, algorithms for clustering documents can facilitate the discovery of new and useful knowledge from the documents under analysis. We present an approach that applies clustering algorithms to forensic analysis of computers seized in police investigations. We illustrate the proposed approach by carrying out experimentation with five clustering algorithms (K-means, K-medoids, Single Link, Complete Link, and Average Link) applied to five datasets obtained from computers seized in real-world investigations. In addition, two relative validity indexes were used to automatically estimate the number of clusters. Related studies in the literature are significantly more limited than our study. Our experiments show that the Average Link and Complete Link algorithms provide the best results for our application domain. If suitably initialized, partitional algorithms (K-means and K-medoids) can also yield to very good results. Finally, we also present and discuss practical results that can be useful for researchers and practitioners of forensic computing.
Starting Page	265
Ending Page	268
File Size	706989
Page Count	4
File Format	PDF
ISBN	9781457721342
DOI	10.1109/ICMLA.2011.59
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computers TV Forensics Forensic computing Clustering algorithms text mining clustering Partitioning algorithms Computational efficiency
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection

Partition document clustering using ontology approach

Review on mining and investigation of criminal records from digital devices

Notice of RetractionApplication of PageRank Algorithm in Computer Forensics

Application of clustering algorithm on TV programmes preference grouping of subscribers

An efficient clustering algorithm using graphical techniques

Document clustering using gravitational ensemble clustering

An efficient clustering algorithm

An Improved Clustering Algorithm

Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection

Similar Documents

Document Clustering for Forensic Analysis: An Approach for Improving Computer Inspection

Partition document clustering using ontology approach

Review on mining and investigation of criminal records from digital devices

Notice of RetractionApplication of PageRank Algorithm in Computer Forensics

Application of clustering algorithm on TV programmes preference grouping of subscribers

An efficient clustering algorithm using graphical techniques

Document clustering using gravitational ensemble clustering

An efficient clustering algorithm

An Improved Clustering Algorithm

Document Clustering for Forensic Computing: An Approach for Improving Computer Inspection