A Mathematical Model of Access Control in Big Data Using Confidence Interval and Digital Signature

Rahmani, Amine; Amine, Abdelmalek; Hamou, Mohamed Reda

doi:10.5121/csit.2015.51515

Cited by 3 publications

(3 citation statements)

References 32 publications

(18 reference statements)

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“…Although there are a lot of benefits of using Big Data-asa-Service platform but security and privacy of the data kept in this environment becomes very critical issue. Researchers have developed various methods, frameworks and architectures that can provide the security and privacy of data but still there is a scope to address the issue of security and privacy such as access control, exposure of data, data breaches, and malicious adversary by cloud users [21] [23]. Thus, we come to know that level of protection that is needed for big data security and privacy is not assured by the cloud providers.…”

Section: Introductionmentioning

confidence: 99%

Design of Access Control Framework for Big Dataas-a-Service (BDaaS) Platform

Pratap¹

2022

YMER

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Big data-as-a-Service [BDaaS] platform is used widely to handle and process the large volume of data generated on daily basis from different source. Generated data is usually kept in cloud environment and there may be chances that the system will fail and become subject to numerous forms of assaults. Many researchers have been working to provide security and protection to the data available on cloud. Blockchain technology has emerged as such technology that is used to provide a secured, distributed, and decentralized environment in cloud environment. In this research paper, we are proposing a framework to control the access of data available on big dataas-a-service on cloud platform using blockchain technology as a tool. We are modifying the ciphertext policy- attribute based encryption (CP-ABE) technique and implementing on blockchain platform. Algorithms for all possible situations have been developed using combination of CPABE and blockchain for secured data access in BDaaS. Keywords: Big-Data-as-a-Service [BDaaS], Blockchain, Attribute Based Encryption, Access Control

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Section: Introductionmentioning

confidence: 99%

Design of Access Control Framework for Big Dataas-a-Service (BDaaS) Platform

Pratap¹

2022

YMER

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“…At present, cryptography has been widely used in data access control, such as digital signature [14,15], secret sharing [16,17], ABE [18], access control encryption (ACE) [19] and so on.…”

Section: Introductionmentioning

confidence: 99%

SACS-ABE&B: Supervised Access Control Scheme Based on Attribute-Based Encryption and Blockchain

Kaiyang

Han

Riming

et al. 2022

Security and Communication Networks

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Aiming at the problem of illegal data sharing of malicious users in the access control scheme based on attribute-based encryption, an access control scheme that can restrict the sending ability of data owners is proposed. By adding a sanitizer to sanitize the ciphertext, it can ensure that parties who do not adhere to the system control policy cannot share information effectively. The scheme is constructed based on blockchain, and the traceability of access process can be realized. Off-chain storage can also lower the blockchain storage load. The scheme meets the No-Read and No-Write rules, achieves chosen-plaintext attack security under the random oracle model, and can against quantum attacks. As a result of theoretical analysis and experimental simulation, the scheme has certain feasibility and practical significance.

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“…A frame work which provides a big data driven model for the optimization of healthcare processes is discussed in [31]. An enlightened optimize model of access controller in big data using assurance interval and digital signatures dis-cussed in [2]. A survey of cost effective big data in healthcare applications [32] which considerably reduce the cost incurred in health care systems.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Securing and Optimizing Health Care Bigdata

Kavitha¹,

De²,

Pandian³

2018

IJET

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Huge amount of health care data are available online to improve the overall performance of health care system. Since this huge health care Big-data is valuable and sensitive, it requires safety. In this paper we analyze numerous ways in which the health care Big-data can be protected. In recent days many augmented security algorithm that are suitable for Big-data have emerged like, El-Gamal, Triple-DES, and Homomorphic algorithms. Also authentication and access control can be implemented over Big-data using Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC) schemes.Along with security to Big-data we try to evolve the ways in which the valuable Big-data can be optimized to improve the Big-data analysis. Mathematical optimization techniques such as simple and multi-purpose optimization and simulation are employed in Big-data to maximize the patient satisfaction and usage of doctor’s consulting facility. And also, to minimize the cost spent by patient and energy wasted.

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A Mathematical Model of Access Control in Big Data Using Confidence Interval and Digital Signature

Abstract: ABSTRACT

Cited by 3 publications

References 32 publications

Design of Access Control Framework for Big Dataas-a-Service (BDaaS) Platform

Design of Access Control Framework for Big Dataas-a-Service (BDaaS) Platform

SACS-ABE&B: Supervised Access Control Scheme Based on Attribute-Based Encryption and Blockchain

A Survey on Securing and Optimizing Health Care Bigdata

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