A Novel Fingerprinting Technique for Data Storing and Sharing through Clouds

Fatima, Mehvish; Nisar, Muhammad Wasif; Rashid, Junaid; Kim, Jung-Eun; Kamran, Muhammad; Hussain, Amir

doi:10.3390/s21227647

Cited by 7 publications

(4 citation statements)

References 39 publications

(53 reference statements)

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“…Creating the unique and new independent generated keys among the different communication agents that grow the security and the process is done by key freshness. Generally, decryption algorithm robustness is considered according to the subsequent concerns, Compression friendliness, Security, Format compliance, and Time efficiency [ 36 , 37 ].…”

Section: Methodsmentioning

confidence: 99%

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health

Mittal

Bansal

Gupta

et al. 2022

Computational Intelligence and Neuroscience

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Nowadays, one of the most popular applications is cloud computing for storing data and information through World Wide Web. Since cloud computing has become available, users are rapidly increasing. Cloud computing enables users to obtain a better and more effective application at a lower cost in a more satisfactory way. Health services data must therefore be kept as safe and secure as possible because the release of this data could have serious consequences for patients. A framework for security and privacy must be employed to store and manage extremely sensitive data. Patients’ confidential health records have been encrypted and saved in the cloud using cypher text so far. To ensure privacy and security in a cloud computing environment is a big issue. The medical system has been designed as a standard, access of records, and effective use by medical practitioners as required. In this paper, we propose a novel algorithm along with implementation details as an effective and secure E-health cloud model using identity-based cryptography. The comparison of the proposed and existing techniques has been carried out in terms of time taken for encryption and decryption, energy, and power. Decryption time has been decreased up to 50% with the proposed method of cryptography. As it will take less time for decryption, less power is consumed for doing the cryptography operations.

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Section: Methodsmentioning

confidence: 99%

Using Identity-Based Cryptography as a Foundation for an Effective and Secure Cloud Model for E-Health

Mittal

Bansal

Gupta

et al. 2022

Computational Intelligence and Neuroscience

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“…A digital signature is also defined as a digital fingerprint [49]. Digital signatures are used to authenticate that a particular entity has submitted or approved a particular piece of data.…”

Section: Fingerprinting Algorithmsmentioning

confidence: 99%

“…To protect digital properties in relational databases for digital privacy management, Fatima et al [49] proposed a fingerprinting approach for the cloud environment. The new fingerprinting method used in the proposed solution makes it reliable and effective.…”

Section: Fingerprinting Algorithmsmentioning

confidence: 99%

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A Survey of Intellectual Property Rights Protection in Big Data Applications

Hamza

Pradana

2022

Algorithms

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Big Data applications have the potential to transform any digital business platform by enabling the analysis of vast amounts of data. However, the biggest problem with Big Data is breaking down the intellectual property barriers to using that data, especially for cross-database applications. It is a challenge to achieve this trade-off and overcome the difficulties of Big Data, even though intellectual property restrictions have been developed to limit misuse and regulate access to Big Data. This study examines the scope of intellectual property rights in Big Data applications with a security framework for protecting intellectual property rights, watermarking and fingerprinting algorithms. The emergence of Big Data necessitates the development of new conceptual frameworks, security standards, and laws. This study addresses the significant copyright difficulties on cross-database platforms and the paradigm shift from ownership to control of access to and use of Big Data, especially on such platforms. We provide a comprehensive overview of copyright applications for multimedia data and a summary of the main trends in the discussion of intellectual property protection, highlighting crucial issues and existing obstacles and identifying the three major findings for investigating the relationship between them.

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