Secure Information Splitting Using Grammar Schemes

2019

Self Cite

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.

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Cognitive security paradigm for cloud computing applications

Ogiela¹,

2019

Self Cite

“…Publications describe various examples of data securitization protocols. [1][2][3][4][5][6][7][8] The algorithms of data splitting and sharing 9 are a special example of protocols used for the processes of data securitization. 7,8,[10][11][12][13][14] In this group of protocols, apart from the classic information splitting algorithms, there are also new classes of threshold schemes, including both linguistic and biometric threshold schemes.…”

Section: Introductionmentioning

confidence: 99%

“…15 A detailed description of these threshold schemes can be found in other works. [3][4][5][9][10][11][12][13][14][15][16][17] In this work, we shall discuss new classes of threshold schemes based on cognitive processes of concealed data description. The gist of the proposed solution is a possibility to specify some nonrepetitive semantic features of the concealed data and the application of such type of information in the process of its concealment.…”

Section: Introductionmentioning

confidence: 99%

New protocols of cognitive data management and sharing in cloud computing

Takizawa

2019

Summary In this paper, we shall discuss new classes of cognitive systems dedicated the tasks of dividing and managing shared information not only in simple horizontal structures but also primarily in vertical structures. An example of such a structure is a computer cloud where, from various levels of access to information, one can execute the management process, both with respect to the entire information resources, as well as to individual pieces of data, including shared information. A special type of information is a service, which, similar to various types of data, is subject to the concealment process. In this work, we shall present universal algorithms for shared data management, such that can be used in concealment protocols both for data and services. Due to the above, this paper will treat the term “service” as a special type of data, constituting the basis of their sharing and management processes. Moreover, we shall determine the impact of the proposed algorithms on the enhancement of data/service management processes in Cloud Computing as well as the impact of the service management and data sharing processes in Could Computing on decision‐taking processes in systems supporting the management processes.

Intelligent and semantic threshold schemes for security in cloud computing

Snåšel

2019

This article presents new methods of securing data with particular emphasis on their applications in Cloud Computing. Methods of hiding data dedicated to processes of its security will be illustrated by cryptographic techniques, particularly data splitting protocols. Cryptographic information sharing algorithms are a particularly important type of techniques allowing confidential or secret data to be secured. These algorithms have been enhanced with new classes of solutions, including semantic protocols of secret sharing. The innovation of this solution consists in the presentation of smart data securing algorithms that use techniques of the semantic sharing of secret information. The information subjected to the process of splitting and hiding can take various forms, including that of services. Because of this aspect, namely, the various forms of the secret, and the use of universal information hiding techniques, a particularly important aspect of the solutions presented here is the ability to use them in various areas of data security. One of such areas comprises Cloud Computing, which forms the leading subject of this publication. In this article, the authors describe intelligent cryptography techniques dedicated to security services data. The most important achievement is the introduction of a new class of data encryption protocols, such as semantic threshold schemes.