Challenges against Big Data as a Service A Survey

Sharma, Santosh Kumar; Pratap, Ajay; Dev, Harsh

doi:10.26438/ijcse/v7i12.7478

Cited by 2 publications

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“…Blockchain-based Anonymous authentication with Selective revocation (BASS) for Smart industrial applications is proposed for smart industrial applications that support attribute privacy, selective revocation, and credential soundness [10]. Basic architecture of BDaaS has been presented in [11] that is considered for this research paper also. Random oracle model is used to handle security requirements such as mutual authentication and user anonymity and it also resists various malicious attac ks [12].…”

Section: Access Control Decisionmentioning

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: Access Control Decisionmentioning

confidence: 99%

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

Pratap¹

2022

YMER

Self Cite

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“…Blockchain-based anonymous authentication with selective revocation for smart industrial applications (BASS) offers support for attribute privacy, selective revocation, and credential soundness, aiming to enhance security and privacy within smart industrial environments [20]. The basic architecture of BDaaS has been presented in [21] which is considered for this research paper. Random oracle model is used to handle security requirements such as mutual authentication and user anonymity and it also resists various malicious attacks [22].…”

Section: Introductionmentioning

confidence: 99%

Design of access control framework for big data as a service platform

Sharma,

Pratap,

Dev

2024

IJRES

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<span>Big data as a service (BDaaS) platform is widely used by various organizations for handling and processing the high volume of data generated from different internet of things (IoT) devices. Data generated from these IoT devices are kept in the form of big data with the help of cloud computing technology. Researchers are putting efforts into providing a more secure and protected access environment for the data available on the cloud. In order to create a safe, distributed, and decentralised environment in the cloud, blockchain technology has emerged as a useful tool. In this research paper, we have proposed a system that uses blockchain technology as a tool to regulate data access that is provided by BDaaS platforms. We are securing the access policy of data by using a modified form of ciphertext policy-attribute based encryption (CP-ABE) technique with the help of blockchain technology. For secure data access in BDaaS, algorithms have been created using a mix of CP-ABE with blockchain technology. Proposed smart contract algorithms are implemented using Eclipse 7.0 IDE and the cloud environment has been simulated on CloudSim tool. Results of key generation time, encryption time, and decryption time has been calculated and compared with access control mechanism without blockchain technology.</span>

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Challenges against Big Data as a Service A Survey

Cited by 2 publications

References 0 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

Design of access control framework for big data as a service platform

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