Secure Information Management Using Linguistic Threshold Approach - Couverture rigide

Ogiela, Marek R.; Ogiela, Urszula

Couverture rigide

ISBN 10 : 1447150155 ISBN 13 : 9781447150152

Editeur : Springer London Ltd, 2013

Synopsis

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.

A propos du livre

À propos de l'auteur

Prof. Dr. Marek R. Ogiela is a Professor of Computer Science and Head of the Cryptography and Cognitive Informatics Research Group at the AGH University of Science and Technology, Krakow, Poland. He has developed new paradigms of visual pattern cognitive understanding, as well as crypto-biometric secret-sharing threshold schemes. His publications include the Springer titles Secure Information Management Using Linguistic Threshold Approach, Advances in Cognitive Information Systems, Computational Intelligence Paradigms in Advanced Pattern Classification, Cognitive Techniques in Visual Data Interpretation and Modern Computational Intelligence Methods for the Interpretation of Medical Images. Dr. Tomasz Hachaj is an Assistant Professor at the Institute of Computer Science and Computational Methods of the Pedagogical University of Krakow, Poland. His research interests are in pattern recognition, image processing and computer graphics. He is the author of a few dozen scientific publications in his fields of interest. Prof. Dr. Marek R. Ogiela and Dr. Tomasz Hachaj are inventors of the innovative GDL technology for multimedia systems and human gesture analysis.

À propos de la quatrième de couverture

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.

Détails de l'édition

• Éditeur: Springer London Ltd
• Date d'édition: 2013
• Langue: anglais
• ISBN 10: 1447150155
• ISBN 13: 9781447150152
• Reliure: Relié
• Nombre de pages: 136
• Coordonnées du fabricant: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne