A Comprehensive Survey on Semantic based Image Retrieval Systems for Cyber Forensics
DOI:
https://doi.org/10.26438/ijcse/v6i8.245250Keywords:
Cyber Forensics SBIR, Digital image, Semantics and EvidenceAbstract
Cyber forensics includes the areas of computer forensics, network forensics and internet forensics. In Cyber forensics, digital images have been widely used for retrieving criminal images, fingerprints, crime incident images and so on. Since the current cyber forensic tools are not very much furnished with the course of action of huge image data, retrieving of image evidences to prosecute the criminal becomes a big issue, most of the evidence is available in the form of raw semantics. Cyber forensic investigators are often faced with the task of manually examining a huge amount of image data to identify potential evidence by the help of this semantics. Thus semantic based image retrieval system (SBIR) is the latest and best alternative to overcome this drawback. The main objective of this paper is to perform extensive literature survey on the different existing methods of semantic based image retrieval system, to find the pitfalls in the existing methods and to propose a SBIR framework for the development of cyber forensic tools.
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