Provenance security guarantee from origin up to now in the e-Science environment

Jung, Im Y.; Yeom, Heon Y.

doi:10.1016/j.sysarc.2010.04.006

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…In this paper, we mentioned the statistics of integrity, especially in cloud environments [17]. Ensuring the process of guarantee in on premise cloud platform that is similarly in cloud garage.…”

Section: Resultsmentioning

confidence: 99%

A Framework for Data Integrity Through Lineage Tracking in Cloud

Vadlamudi¹,

Rao²,

Bodempudi³

et al. 2018

IJET

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Cloud Computing [1] is a service oriented paradigm that pursuits at sharing resources to a large number of tenants. It's far approximately using internet to save, control and process facts in preference using personalized computer. Even though Cloud computing has the prerequisite to store the data; some users find some issues regarding safe data Storage in cloud. In that case metadata is the data that helps to determine the history of the particular data object we opted starting from its original resources. Here not only integrity of the data is proved but the specific lineage of data is also proved. Lineage is useful to know the origin of the data and its transformations in the cloud. In this paper we develop a framework to ensure Access control and data integrity using lineage of data stored in the cloud[2], and some general semantic definitions for integrity properties of lineage tracking. The main contribution of this paper is to explore framework through metadata for integrity and access control.

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Section: Resultsmentioning

confidence: 99%

A Framework for Data Integrity Through Lineage Tracking in Cloud

Vadlamudi¹,

Rao²,

Bodempudi³

et al. 2018

IJET

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show abstract

“…Trust measurement is affected by questions like "who created the data," "who processed/modified it," "what is the current state of the data" and "(prior) trust in the data creator and processing entities" [24,25]. We can generalise that trust and measurement of trustworthiness in a combined approach that includes reputation (reputation of data sources and handlers), context (operations performed on the data) and content (current state of the data).…”

Section: B Data Provenancementioning

confidence: 99%

Digital Trust - Trusted Computing and Beyond: A Position Paper

Akram

2014

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications

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Abstract-Along with the invention of computers and interconnected networks, physical societal notions like security, trust, and privacy entered the digital environment. The concept of digital environments begins with the trust (established in the real world) in the organisation/individual that manages the digital resources. This concept evolved to deal with the rapid growth of the Internet, where it became impractical for entities to have prior offline (real world) trust. The evolution of digital trust took diverse approaches and now trust is defined and understood differently across heterogeneous domains. This paper looks at digital trust from the point of view of security and examines how valid trust approaches from other domains are now making their way into secure computing. The paper also revisits and analyses the Trusted Platform Module (TPM) along with associated technologies and their relevance in the changing landscape. We especially focus on the domains of cloud computing, mobile computing and cyber-physical systems. In addition, the paper also explores our proposals that are competing with and extending the traditional functionality of TPM specifications.

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Securing Data Provenance in the Cloud

Asghar

Ion

Russello

et al. 2012

Open Problems in Network Security

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Abstract. Cloud storage offers the flexibility of accessing data from anywhere at any time while providing economical benefits and scalability. However, cloud stores lack the ability to manage data provenance. Data provenance describes how a particular piece of data has been produced. It is vital for a post-incident investigation, widely used in healthcare, scientific collaboration, forensic analysis and legal proceedings. Data provenance needs to be secured since it may reveal private information about the sensitive data while the cloud service provider does not guarantee confidentiality of the data stored in dispersed geographical locations. This paper proposes a scheme to secure data provenance in the cloud while offering the encrypted search.

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Provenance security guarantee from origin up to now in the e-Science environment

Cited by 5 publications

References 26 publications

A Framework for Data Integrity Through Lineage Tracking in Cloud

A Framework for Data Integrity Through Lineage Tracking in Cloud

Digital Trust - Trusted Computing and Beyond: A Position Paper

Securing Data Provenance in the Cloud

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