Advanced techniques for knowledge management and access to strategic information

Ogiela, Lidia

doi:10.1016/j.ijinfomgt.2014.11.006

Cited by 54 publications

(30 citation statements)

References 8 publications

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“…[13][14][15][16][17] In this chapter, the authors focus on discussing the topic of linguistic schemes for message sharing. The essence of the subject of the semantic analysis of data has been described inter alia in the publications.…”

Section: Linguistic Secret-sharing Schemesmentioning

confidence: 99%

Linguistic techniques for cryptographic data sharing algorithms

Ogiela

2017

Concurrency and Computation

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This publication presents algorithms for protecting data from unauthorised access to it. A special role among information protection algorithms is played by algorithms of data splitting and sharing which allow the information to be distributed within a selected group of secret trustees. This paper describes protocols of the above type and also suggests a way of using the proposed solutions for linguistic information sharing. Linguistic message-sharing algorithms are described as a class of protocols for protecting data with its possible semantic interpretation. This is because the semantic analysis allows the content-based interpretation of various information sets. The proposed methods are very useful from different points of view. Authors would like to present one possible application which is cognitive service management and data-sharing systems applied for cloud computing.

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Section: Linguistic Secret-sharing Schemesmentioning

confidence: 99%

Linguistic techniques for cryptographic data sharing algorithms

Ogiela

2017

Concurrency and Computation

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“…In this case, it is more appropriate to talk about the concept of "data consolidation", which in [9] is defined as "management of integration processes and data exchange between different production systems". Common definitions of information consolidation also include: "summarizing records for report preparation" [10]; "the process of information accumulation and structuring" [11]; "obtaining of systematically integrated information resources from various sources" [12]; "organization of management of sets of strategic corporative information" [13]. In this context, it is appropriate to take into consideration the proposal, contained in paper [14], in terms of the need to divide consolidation into physical and logical.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of information consolidation system in the reflective management of large-scale economic and production systems

Pylypenko

Popov

2017

EEJET

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“…The development of IT techniques and a need to collect and store increasingly larger sets of secret data resulted in the need to develop new data protection protocols. This is why the class of data sharing algorithms has been enhanced by new solutions, described in the literature as linguistic and biometric threshold schemes …”

Section: Introductionmentioning

confidence: 99%

Cognitive security paradigm for cloud computing applications

Ogiela¹,

Ogiela

2019

Concurrency and Computation

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Summary This article presents new paradigms of confidential data protection. New classes of paradigms are dedicated to enhancing the already‐known cryptographic solutions belonging to the group of data sharing schemes. Data sharing schemes are dedicated to executing data protection tasks by means of splitting data into parts (called shadows) and distributing those shadows among a group of secret trustees. This process is enriched by linguistic and biometric solutions to guarantee protection of the shared data by means of biometric labeling or by means of user verification with the application of meaning interpretation of individual secret parts. The novelty in this solution is in the application of cognitive algorithms to describe correctly the shared secret. Cognitive paradigms guarantee an execution of information concealment protocols and their division at various levels of knowledge held by individual protocol participants. The paradigms of cognitive description of the concealed data have been introduced into a new class of data sharing protocols, ie, into the linguistic‐biometric threshold schemes. A special feature of the proposed solution is its universality, which is a possibility to apply the here‐discussed threshold schemes in the processes of data concealment with varying importance. At the same time, this solution can be applied to execute data protection tasks against unauthorized acquisition or disclosure. This paper will present also the possibilities of application of the paradigms presented here to conceal data dedicated to the data management processes.

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Advanced techniques for knowledge management and access to strategic information

Cited by 54 publications

References 8 publications

Linguistic techniques for cryptographic data sharing algorithms

Linguistic techniques for cryptographic data sharing algorithms

Development of information consolidation system in the reflective management of large-scale economic and production systems

Cognitive security paradigm for cloud computing applications

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