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IIJCS:Volume 2, Issue 11, November 2014

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Title:
A Novel Approach to Digital Forensics Image Mining System
Author Name:
ONYEMAUCHE, U.C, OKONKWO, O.R.
Abstract:
ABSTRACT There has been an escalating amount of illegal image data transmitted via the internet. This has prompted the call to develop effective image mining systems for digital forensics purposes. This paper discusses the requirements of digital image forensics which emphasize the design of our forensic image mining system. This system can be trained by a hierarchical Support Vector Machine (SVM) to detect objects and scenes which are made up of components under spatial or non-spatial constraints. Forensic investigators can communicate with the system via a grammar which allows object description for training, searching, querying and relevance feedback. In addition, we propose to use an AI based networks approach to deal with information uncertainties which are inherent in forensic work. An analysis of the performance of the first prototype of the system is also provided. Key words:- Artificial Intelligence, Image mining, timestamp, Event correlation.
Cite this article:
ONYEMAUCHE, U.C, OKONKWO, O.R. , " A Novel Approach to Digital Forensics Image Mining System" , IPASJ INTERNATIONAL JOURNAL OF COMPUTER SCIENCE(IIJCS) , Volume 2, Issue 11, November 2014 , pp. 048-052 , ISSN 2321-5992.
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