000 04230nam a22005175i 4500
001 978-1-4471-5016-9
003 DE-He213
005 20200421112224.0
007 cr nn 008mamaa
008 130819s2014 xxk| s |||| 0|eng d
020 _a9781447150169
_9978-1-4471-5016-9
024 7 _a10.1007/978-1-4471-5016-9
_2doi
050 4 _aQA76.9.A25
072 7 _aURY
_2bicssc
072 7 _aCOM053000
_2bisacsh
082 0 4 _a005.82
_223
100 1 _aOgiela, Marek R.
_eauthor.
245 1 0 _aSecure Information Management Using Linguistic Threshold Approach
_h[electronic resource] /
_cby Marek R. Ogiela, Urszula Ogiela.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2014.
300 _aXIII, 136 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aAdvanced Information and Knowledge Processing,
_x1610-3947
505 0 _aPreface -- Introduction -- Fields of Application, Methods of and Current Trends in Information Management -- Types of Information Splitting and Sharing Techniques -- Model of Multilevel Information Splitting and Management in an Organization -- Proposition of Sharing Techniques Based on the Mathematical Linguistic Approach -- Methodological Aspects of Information Sharing and Management in Organizations -- Features of Linguistic Threshold Schemes -- Index.
520 _aIn recent years, cryptographic techniques for protecting and hiding secret information have been included in directions of research on intelligent information management. Data can be managed securely due to the use of algorithms for ensuring the confidentiality of data, information splitting techniques as well as protocols for sharing information and methods of its reconstruction. This is why techniques of advanced splitting and reconstruction of information form the primary subject of Secure Information Management Using Linguistic Threshold Approach, whose main purpose is to discuss the so-called linguistic threshold schemes for information sharing. An attempt is also made to describe the opportunities of using these techniques to create new models of managing strategic information shared within a commercial organisation or a state institution. Such information is specially protected, and its contents are used only if the authorised users are enabled to access it. This monograph attempts to define a model structure of information flow and for assigning information shares to particular groups of individuals concerned. The proposed information flow model can be integrated into practical solutions within any organisation or institution, improving the functionality of its legacy information systems. The use of strong mathematical cryptographic models to manage information constitutes a scientific innovation and a demonstration of the methods and opportunities of using advanced techniques for confidentially exchanging information in tasks supporting data flow within a commercial organisation. The interdisciplinary nature of the solutions proposed means that the subject of linguistic threshold schemes forming part of intelligent information management becomes a new challenge for the research and application work carried out. The authors of this monograph hope that it will guide readers on an interesting journey through the cutting edge solution in the field of secure information management.
650 0 _aComputer science.
650 0 _aBusiness.
650 0 _aManagement science.
650 0 _aData encryption (Computer science).
650 0 _aComputational intelligence.
650 1 4 _aComputer Science.
650 2 4 _aData Encryption.
650 2 4 _aBusiness and Management, general.
650 2 4 _aComputational Intelligence.
700 1 _aOgiela, Urszula.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781447150152
830 0 _aAdvanced Information and Knowledge Processing,
_x1610-3947
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4471-5016-9
912 _aZDB-2-SCS
942 _cEBK
999 _c57585
_d57585