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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:3149</identifier>
                <datestamp>2015-06-12T09:07:23Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Applying machine learning in the development of forensic tools to detect ciphertext</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2015</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/1/3149</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://etran.etf.rs/index_e.html</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-2875-685X" confidence="-1">S. Adamović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:99" confidence="-1">В. Мишковиц</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-6136-1895" confidence="-1">М. Веиновић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:6" confidence="-1">М. Милосављевић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-7954-6011" confidence="-1">Д. Радовановић</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">In this paper, we use methods of machine learning to detect ciphertext. Today there are only forensic tools that detect ciphertext based on meta-data in file, where is the ciphertext located. Our task is to detect ciphertext without meta-data, based on the data structure. In this case, it is necessary to discover the characteristics by which it is possible with high accuracy detect ciphertext between other similar data structures such as ZIP, RAR, MP3, MP4, PDF and MPEG. Successful development of this method represents a significant contribution to the development of intelligent IDS system.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">VI.2.4</dim:field>
                    <dim:field mdschema="dc" element="source">International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2015</dim:field>
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