Protection of Big Data Privacy

Mehmood, Abid; Natgunanathan, Iynkaran; Xiang, Yong; Hua, Guang; Guo, Song

doi:10.1109/access.2016.2558446

Cited by 207 publications

(113 citation statements)

References 66 publications

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“…In [1] Abid Mehmood and Iynkaran Natgunanathan 2016 explained a comprehensive overview of the privacy preservation mechanisms in big data and presented the challenges for existing mechanisms. It illustrated the infrastructure of big data and the statepreserving mechanisms in each stage of the big data life cycle.…”

Section: Reviewmentioning

confidence: 99%

“…The authorized user can the uploaded encrypted files and read it on the system II. LITERATURE REVIEW In [1] Abid Mehmood and Iynkaran Natgunanathan 2016 explained a comprehensive overview of the privacy preservation mechanisms in big data and presented the challenges for existing m illustrated the infrastructure of big data and the state of-the-art privacy-preserving mechanisms in each stage of the big data life cycle. In [2] Ms. Chetana Girish Gorakh and Dr. Kishor M. Dhole 2016 presented an overview of big data concep characteristics and discussed introductory scenario about tools used in big data environment.…”

mentioning

confidence: 99%

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Secured File Storage System In Big Data With Cloud Access Using Security Algorithms

Prathibha¹,

Anitha²,

Ramyabharathi³

2018

IJTSRD

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Big data is a technology to huge data sets, have high Velocity, high Volume and high Variety and complex structure with the difficulties of analyzing, storing and processing. The paper focuses on extraction of data efficiently in big data and how to manage the data and the components that are useful in handling big data. Security in the era of big data and especially to the problem of reconciling security and privacy models by exploiting the map reduce framework. Data can be classified as public, confidential and sensitive This paper proposes the big data applications with the Hadoop Distributed Framework for storing huge data in cloud in a highly efficient manner In order to avoid the third party issues and produce the exact data to the user by implementing the encryption and decryption approach using SHA 512 algorithms to avoid the security issues in big data.

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Section: Reviewmentioning

confidence: 99%

mentioning

confidence: 99%

Secured File Storage System In Big Data With Cloud Access Using Security Algorithms

Prathibha¹,

Anitha²,

Ramyabharathi³

2018

IJTSRD

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“…Several survey papers that are focused on privacy-preserving techniques for different stages of distributed data reuse were identified [39][40][41][42][43][44][45][46]. The reference lists of the identified papers were searched to identify privacy-preserving techniques for reuse of data distributed across multiple data custodians.…”

Section: Methodsmentioning

confidence: 99%

A Survey of Privacy-Preserving Techniques for Reuse of Distributed Health Data (Preprint)

Yigzaw¹,

Berntsen²,

Hartvigsen³

et al. 2018

Preprint

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Background: Large amounts of detailed electronic health data are being collected. Reuse of these data has enormous potential for scientific discoveries that enables the improvement of healthcare systems' effectiveness, efficiency, and quality of care. However, health data reuse should protect the privacy interests of the stakeholders (i.e., patients and healthcare providers) and promote public good through research. This is particularly challenging when the data are distributed across several data custodians.

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“…European Union has enacted laws as Convention Automatic Processing Personal Data and European Union Data Protection Directive. Our country, China, had formulated regulations related to online privacy protection as follows [8] Legislation provides legal backing to privacy protection, but the hysteresis quality of law is not conductive to the further development of cyber economy. Compared with law, industry self-discipline norm has the flexibility of providing comfortable environment for the rapid development of the network economy and reducing administrative intervention, which is help to promote the fast development of the internet economy.…”

Section: Policies and Regulations Protection Technologymentioning

confidence: 99%

Overview of Personal Privacy Protection Technology in Big Data

Mao-Qiang¹,

Fan²

2016

dtetr

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Abstract. Big Data called new oil in the future is affecting people's life. It has attracted much attention from academy, industry and national government departments. But there are many security problems in the collection, storage, mining and displaying of Big Data and privacy protection in it is directly related to the interests of user. Firstly, this paper will introduce concept of Big Data and analyzes many information security problems in it. Then, it will discuss the key privacy protection technologies and recent advances in anonymous protection, data encryption, access control, cloud storage location privacy and legal regulations. Finally, this paper will summarize and discuss further study of Big Data privacy protection.

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Protection of Big Data Privacy

Cited by 207 publications

References 66 publications

Secured File Storage System In Big Data With Cloud Access Using Security Algorithms

Secured File Storage System In Big Data With Cloud Access Using Security Algorithms

A Survey of Privacy-Preserving Techniques for Reuse of Distributed Health Data (Preprint)

Overview of Personal Privacy Protection Technology in Big Data

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