Cryptographic techniques of strategic data splitting and secure information management

Ogiela, Lidia

doi:10.1016/j.pmcj.2015.05.007

Cited by 43 publications

(27 citation statements)

References 19 publications

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“…18,[20][21][22] The new area of applications of linguistic data-sharing schemes is cloud computing. 18,[20][21][22] The new area of applications of linguistic data-sharing schemes is cloud computing.…”

Section: The Application Of Linguistic Information-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: The Application Of Linguistic Information-sharing Schemesmentioning

confidence: 99%

Linguistic techniques for cryptographic data sharing algorithms

Ogiela

2017

Concurrency and Computation

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“…The process of information labelling is run based on the use of individual features of every protocol participant (shadow holder) (Ogiela 2016;Ogiela and Ogiela 2015a). An individual personal code is contained in bio-labels (biometric information).…”

Section: Personalized Cryptographymentioning

confidence: 99%

Personalized cryptography in cognitive management

Ogiela

Takizawa

2017

Soft Comput

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One of the existing problems of information management is an information security. In this aspects one of possible solution is divide information between a group of persons authorized to manage this information. Information sharing processes allow to protect the information from disclosure. In this paper, the process of division of the information has been enhanced by biometric identification stage. Secure information processes with biometric identification are used to manage very important and strategic data. This paper presents the questions of personal cryptography understood as a combination of the tasks of classifying information and biometric techniques used for this kind of tasks. The techniques of biometric data marking are present on the examples of data division and sharing protocols, expanded by the stages of personal identification and verification. This kind of solutions is presented for the tasks of dividing appropriately the shared secret information. Moreover, we shall present the management process of shadow sets, i.e., of parts of the divided, secret information. The processes of secret data management are refer to tasks of cognitive management, understood as management executed on the basis of understanding the meaning of the processed data.

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“…The public key is used to calculate the result of Cipher data. The public key has the same character as the private key S. If S denotes the private key, then the public key can be denoted by T. The public key has a row of numbers as the key to finding the Cipher [9] [10]. For the process of calculating the data of the Cipher text, must first do the plaintext division into blocks based on the number of elements T. Known the number of elements of T as many as 8 elements.…”

Section: Merkle Hellmanmentioning

confidence: 99%

Application to Determination of Scholarship Worthiness Using Simple Multi Attribute Rating Technique and Merkle Hellman Method

Nofriansyah

2017

Int. J. Art. Intell. Research

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This research was focused on explaining how the concept of simple multi attribute rating technique method in a decision support system based on desktop programming to solve multi-criteria selection problem, especially Scholarship. The Merkle Hellman method is used for securing the results of choices made by the Smart method. The determination of PPA and BBP-PPA scholarship recipients on STMIK Triguna Dharma becomes a problem because it takes a long time in determining the decision. By adopting the SMART method, the application can make decisions quickly and precisely. The expected result of this research is the application can facilitate in overcoming the problems that occur concerning the determination of PPA and BBP-PPA scholarship recipients as well as assisting Student Affairs STMIK Triguna Dharma in making decisions quickly and accurately

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Cryptographic techniques of strategic data splitting and secure information management

Cited by 43 publications

References 19 publications

Linguistic techniques for cryptographic data sharing algorithms

Linguistic techniques for cryptographic data sharing algorithms

Personalized cryptography in cognitive management

Application to Determination of Scholarship Worthiness Using Simple Multi Attribute Rating Technique and Merkle Hellman Method

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