Aggregated provenance and its implications in clouds

Imran, Muhammad; Hlavacs, Helmut; Khan, Fakhri Alam; Jabeen, Sadia; Khan, Fiaz Gul; Shah, Sayyar Ali; Alharbi, Mafawez

doi:10.1016/j.future.2017.10.027

Cited by 15 publications

(4 citation statements)

References 8 publications

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“…Provenance is also studied to solve the problems in cloud environments. The need of an aggregated provenance and its significance are studied in Imran et al [16]. They also propose a solution that works at different layers of clouds and present a case study.…”

Section: Related Workmentioning

confidence: 99%

A novel approach to provenance management for privacy preservation

Can

Yilmazer

2019

Journal of Information Science

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Provenance determines the origin of the data by tracing and recording the actions that are performed on the data. Therefore, provenance is used in many fields to ensure the reliability and quality of data. In this work, provenance information is used to meet the security needs in information systems. For this purpose, a domain-independent provenance model is proposed. The proposed provenance model is based on the Open Provenance Model and Semantic Web technologies. The goal of the proposed provenance model is to integrate the provenance and security concepts in order to detect privacy violations by querying the provenance data. In order to evaluate the proposed provenance model, we illustrated our domain-independent model by integrating it with an infectious disease domain and implemented the Healthcare Provenance Information System.

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Section: Related Workmentioning

confidence: 99%

A novel approach to provenance management for privacy preservation

Can

Yilmazer

2019

Journal of Information Science

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“…Muhammad et.al. [5]proposes a scheme in which it becomes challenging to manage provenance information because of the relationships that exist within Cloud layers and the creator object.Cloud computing follows a layered architecture where each layer targets a particular domain of end users.In such a layered architecture, provenance (the metadata that describes the derivation history of the object) of the individual layers is of significant importance to establish trust and authenticity [5]. In a typical Cloud environment, each layer provides important provenance information which usually targets a particular domain of clients e.g.…”

Section: IImentioning

confidence: 99%

Untitled

2018

IJET

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Cloud computing is one of the powerful computing that connect the whole world. Huge amount of data get uploaded over cloud so that it can be accessible by the user at any time and any point. Security must be concerned related to confidentiality of data, integrity of data, availability etc. Data stored over cloud is physically not accessible to the user. Data modification can be done by unauthorized user or by some malicious activity so user needs to be ensure that their data is secure or not. Therefore mechanism is required where user can check if integrity of its data is maintained or compromised. There are various methods are available such as mirroring but it require more storage space. Sometimes we need TPA to verify the data. In this, user check the integrity of its data store over cloud environment and detect the suspicious activity. For this new scheme "Data Provenance" is used, that collect the history data of user. On the basis of which, suspicious activity is detected. Provenance data is used to collect the history data and identify the user behaviour. Using this we reduce the need of TPA and replication of data item on client side for integrity checking as checking part is done over cloud infrastructure.

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“…Data provenance is commonly defined as the derivation history of data [1], [2], [3]. It is metadata that describes the creation and evolution of data objects.…”

Section: Introductionmentioning

confidence: 99%

Towards Embedding Data Provenance in Files

Phua

Patros

Kumar

2021

2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC)

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Data provenance (keeping track of who did what, where, when and how) boasts of various attractive use cases for distributed systems, such as intrusion detection, forensic analysis and secure information dependability. This potential, however, can only be realized if provenance is accessible by its primary stakeholders: the end-users. Existing provenance systems are designed in a 'all-or-nothing' fashion, making provenance inaccessible, difficult to extract and crucially, not controlled by its key stakeholders. To mitigate this, we propose that provenance be separated into system, data-specific and file-metadata provenance. Furthermore, we expand data-specific provenance as changes at a fine-grain level, or provenance-perchange, that is recorded alongside its source. We show that with the use of delta-encoding, provenance-per-change is viable, asserting our proposed architecture to be effectively realizable.

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Aggregated provenance and its implications in clouds

Cited by 15 publications

References 8 publications

A novel approach to provenance management for privacy preservation

A novel approach to provenance management for privacy preservation

Untitled

Towards Embedding Data Provenance in Files

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