The week's pick
Random Articles
Reseach Article
An Automated Forensic Analysis Approach in Financial Domain
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 106 - Number 9 |
| Year of Publication: 2014 |
| Authors: Nitin S. Kharat, Harmeet K. Khanuja |
10.5120/18545-9776
|
Nitin S. Kharat, Harmeet K. Khanuja . An Automated Forensic Analysis Approach in Financial Domain. International Journal of Computer Applications. 106, 9 ( November 2014), 1-5. DOI=10.5120/18545-9776
Abstract
Recently due to increase in digitalization most of documents are stored electronically. So whenever any criminal case is reported then it is often required to do forensic analysis of such document dataset. Forensic analysis refers to analyzing such document dataset stored in computer seized device in order to resolve reported case. Nowadays numbers of crimes are reported related to financial domain. So we need to do forensic analysis of such financial documents, but it is very complex and time consuming task to do forensic analysis of such financial document dataset. Hence, the proposed system facilitates framework towards automated forensic analysis of financial documents. The proposed system does forensic analysis of listed financial documents in automated manner. The obtained result also shows significant improvement that leads to forensic analysis of such documents within quick period of time.
References
- Price Waterhouse Coopers 2011 UK, Global Economic Survey , PriceWaterhouse.
- B. K. L. Fei, J. H. P. Eloff, H. S. Venter, and M. S. Oliver 2005, Exploring forensic data with self-organizing maps In Proc. IFIP Int. Conf. Digital Forensics.
- Patrick Grafe. Topic Modeling in Financial Documents, Department of Computer Science Stanford University.
- K. Stoffel, P. Cotofrei and D. Han 2010 Fuzzy methods for forensic data analysis In Proc. IEEE Int. Conf. Soft Computing and Pattern Recognition.
- S. Decherchi, S. Tacconi, J. Redi, A. Leoncini, F. Sangiacomo, and R. Zunino 2009 Text clustering for digital forensics analysis In Computat. Intell. Security Inf. Syst. , vol. 63, pp. 29–36.
- N. L. Beebe and J. G. Clark, 2007 Digital forensic text string searching, improving information retrieval effectiveness by thematically clustering search results Digital Investigation, Elsevier, vol. 4, no. 1.
- Anderi Sorin SABU 2012 Survey of Clustering based Fraud Detection Research In Informatica Economia vol 16, no. 1
- Luis Filipe da Cruz Nassif and Eduarado Raul Hruschka 2013 Document Clustering for Forensic Analysis An Approach for Improving Computer Inspection In Ieee Transactions On Information Forensics And Security,Vol. ,No. 1.
- RBI Rules Available: http://rbidocs. rbi. org. in/rdocs/content/Pdfs/68787. pdf
- RBI Rules Available: http://rbidocs. rbi. org. in/rdocs/ notification/ PDFs/ PM2212A_II. pdf
- Suvasini Panigrahi, Amlan Kundu, Shamik Sural, A. K. Majumdar2011 Credit card fraud detection: A fusion approach using Dempster–Shafer theory and Bayesian learning.
- Harmeet Kaur Khanuja and Dr D. S. Adane. ?Forensic Analysis of Databases by Combining Multiple Evidences? International Journal of Computer and Technology , Vol 7,No 3.
- H. Lee, T. Palmbach, M. Miller 2001 Henry Lee's Crime Scene Handbook, San Diego: Academic Press.
- K. M. Hammouda and M. S. Kamel 2004 Efficient phrase-based document indexing for web document clustering In IEEE Transactions on knowledge and data engineering.
- Alessandro Moschitti and Roberto Basili 2004 Complex linguistic features for text classification: A comprehensive study, In ECIR '04: 27th European conference on IR research, Sunderland, UK.
- L. Garfinkel 2010 Digital forensics research: The next 10 years, Digital Investigation.
- L. Liu, J. Kang, J. Yu, and Z. Wang 2005 A comparative study on unsupervised feature selection methods for text clustering, In Proc. IEEE Int. Conf. Natural Language Processing and Knowledge Engineering.
- B. S. Everitt, S. Landau, and M. Leese 2001 Cluster Analysis. London,U. K. : Arnold.
- Luiz G. P. Almeida, Ana T. R. Vasconcelos and Marco A. G. Maia, 2007 A Simple and Fast Term Selection Procedure for Text Clustering In Seventh International Conference on Intelligent Systems Design and Applications.
- M. R. Clint, M. Reith, C. Carr, G. Gunsch 2002 An Examination of Digital Forensic Models.
- B. D. Carrier, E. H. Spafford 2004 An event-based digital forensic investigation framework In Proceedings of the 4th Digital Forensic Research Workshop
- A. Miller. 1995 Wordnet: a lexical database for English. Common. ACM.
- A. K. Jain and R. C. Dubes 1988 Algorithms for Clustering Data. EnglewoodCliffs, NJ: Prentice-Hall.
- Prof. K. Raja, C. Prakash Narayanan 2010 Clustering Technique with Selection for Text Documents.
- Computer Forensics Avialable: http://www. computerforensicsworld. com/
- E. Casey 2000 Digital Evidence and Computer Crime: Forensic Science, Computers, and the Internet with Cdrom, 1st ed. , Academic Press, Inc. , Orlando, FL, USA.
- R. Hadjidj, M. Debbabi, H. Lounis, F. Iqbal, A. Szporer, and D. Benredjem 2009 Towards an integrated e-mail forensic analysis framework In Digital Investigation, Elsevier, vol. 5.
- A. Weigend 1997 Data Mining in Finance, Computer Intensive Methods for Financial Modeling and Data Analysis.
- Forensics Available http://www. us-cert. gov/sites/default/files/ publications / forensics. pdf
- Harmeet Kaur Khanuja and Dr. D. S. Adane. 2012. A Framework For Database Forensic Analysis. Published in Computer Science & Engineering: An International Journal (CSEIJ), Vol. 2, No. 3.
- G. Palmer, M. Corporation 2001 A Road Map for Digital Forensic Research, in: Proceedings of the 1st Digital Forensic Research Workshop.
Index Terms
Keywords