Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Gritti, Clémentine; Li, Hao

doi:10.25046/aj070111

Cited by 3 publications

(2 citation statements)

References 61 publications

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“…However, this does not ensure that there is also the promised number of replicas available. Proof of Retrievability and Reliability (PoRR) approaches can be applied to verify this as well [117]. Here, a verifiable delay function (VDF) is applied to the data, which is slow to compute but easy to verify [118].…”

Section: Confidentialitymentioning

confidence: 99%

Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration

Stach

2023

Future Internet

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Currently, data are often referred to as the oil of the 21st century. This comparison is not only used to express that the resource data are just as important for the fourth industrial revolution as oil was for the technological revolution in the late 19th century. There are also further similarities between these two valuable resources in terms of their handling. Both must first be discovered and extracted from their sources. Then, the raw materials must be cleaned, preprocessed, and stored before they can finally be delivered to consumers. Despite these undeniable similarities, however, there are significant differences between oil and data in all of these processing steps, making data a resource that is considerably more challenging to handle. For instance, data sources, as well as the data themselves, are heterogeneous, which means there is no one-size-fits-all data acquisition solution. Furthermore, data can be distorted by the source or by third parties without being noticed, which affects both quality and usability. Unlike oil, there is also no uniform refinement process for data, as data preparation should be tailored to the subsequent consumers and their intended use cases. With regard to storage, it has to be taken into account that data are not consumed when they are processed or delivered to consumers, which means that the data volume that has to be managed is constantly growing. Finally, data may be subject to special constraints in terms of distribution, which may entail individual delivery plans depending on the customer and their intended purposes. Overall, it can be concluded that innovative approaches are needed for handling the resource data that address these inherent challenges. In this paper, we therefore study and discuss the relevant characteristics of data making them such a challenging resource to handle. In order to enable appropriate data provisioning, we introduce a holistic research concept from data source to data sink that respects the processing requirements of data producers as well as the quality requirements of data consumers and, moreover, ensures a trustworthy data administration.

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Section: Confidentialitymentioning

confidence: 99%

Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration

Stach

2023

Future Internet

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“…If the response to this challenge takes too long, it is confirmed that the provider does not have the data at rest but needs to compute the VFD on the fly. In cloud-based data stores, such a procedure can also be applied efficiently [190].…”

Section: Future Prospectsmentioning

confidence: 99%

Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects

et al. 2022

Self Cite

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The present information age is characterized by an ever-increasing digitalization. Smart devices quantify our entire lives. These collected data provide the foundation for data-driven services called smart services. They are able to adapt to a given context and thus tailor their functionalities to the user’s needs. It is therefore not surprising that their main resource, namely data, is nowadays a valuable commodity that can also be traded. However, this trend does not only have positive sides, as the gathered data reveal a lot of information about various data subjects. To prevent uncontrolled insights into private or confidential matters, data protection laws restrict the processing of sensitive data. One key factor in this regard is user-friendly privacy mechanisms. In this paper, we therefore assess current state-of-the-art privacy mechanisms. To this end, we initially identify forms of data processing applied by smart services. We then discuss privacy mechanisms suited for these use cases. Our findings reveal that current state-of-the-art privacy mechanisms provide good protection in principle, but there is no compelling one-size-fits-all privacy approach. This leads to further questions regarding the practicality of these mechanisms, which we present in the form of seven thought-provoking propositions.

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Assessment and treatment of privacy issues in blockchain systems

Stach

Gritti

Przytarski

et al. 2022

SIGAPP Appl. Comput. Rev.

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The ability to capture and quantify any aspect of daily life via sensors, enabled by the Internet of Things ( IoT ), data have become one of the most important resources of the 21 st century. However, the high value of data also renders data an appealing target for criminals. Two key protection goals when dealing with data are therefore to maintain their permanent availability and to ensure their integrity. Blockchain technology provides a means of data protection that addresses both of these objectives. On that account, blockchains are becoming increasingly popular for the management of critical data. As blockchains are operated in a decentralized manner, they are not only protected against failures, but it is also ensured that neither party has sole control over the managed data. Furthermore, blockchains are immutable and tamper-proof data stores, whereby data integrity is guaranteed. While these properties are preferable from a data security perspective, they also pose a threat to privacy and confidentiality, as data cannot be concealed, rectified, or deleted once they are added to the blockchain. In this paper, we therefore investigate which features of the blockchain pose an inherent privacy threat when dealing with personal or confidential data. To this end, we consider to what extent blockchains are in compliance with applicable data protection laws, namely the European General Data Protection Regulation ( GDPR ). Based on our identified key issues, we assess which concepts and technical measures can be leveraged to address these issues in order to create a privacy-by-design blockchain system.

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Efficient Publicly Verifiable Proofs of Data Replication and Retrievability Applicable for Cloud Storage

Cited by 3 publications

References 61 publications

Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration

Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration

Protecting Sensitive Data in the Information Age: State of the Art and Future Prospects

Assessment and treatment of privacy issues in blockchain systems

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