Secure Information Management Using Linguistic Threshold Approach

Beschreibung

In 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.
In 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.
Discusses the scientific research conducted to create linguistic threshold schemes Demonstrates how these schemes may be applied in intelligent information management Presents the current development trends in this field and charts the possible direction of further research Includes supplementary material: sn.pub/extras

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Marek R. Ogiela

Themen in »Secure Information Management Using Linguistic Threshold Approach«

Cryptography Hierarchical Management Structures Information Sharing Information Splitting Mathematical Linguistics Secret Splitting and Sharing Secure Information Management Threshold Schemes

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From the reviews:

“The book brings the reader to the forefront of mathematical foundations of information sharing and splitting. … The most distinguished contribution of the authors is the mathematical linguistic approach to information sharing, and it makes the book worthwhile reading for researchers. However, the book is highly recommended for not only the researchers who work on information management, but also the institutions and commercial business having a hierarchical organisation, because of providing highly practical security for them.” (Korhan Günel, zbMATH, Vol. 1283, 2014)

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