Blockchain-based cloud storage system with CP-ABE-based access control and revocation process

Sharma, Pratima; Jindal, Rajni; Borah, Malaya Dutta

doi:10.1007/s11227-021-04179-4

Cited by 33 publications

(26 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…CP-ABE technique is used to control access that is proposed in IoT environment, and it also hides the access policy by using a hashing algorithm and provides security against insider attack using a signature verification scheme [1]. CP-ABE-based access control and revocation of services mechanism has been proposed on blockchain-based cloud storage system [2]. Encryption of data stored in the blockchain network by applying ciphertext-policy attribute-based encryption (CP-…”

Section: Literature Reviewmentioning

confidence: 99%

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

Pratap¹

2022

YMER

View full text Add to dashboard Cite

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

show abstract

Section: Literature Reviewmentioning

confidence: 99%

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

Pratap¹

2022

YMER

View full text Add to dashboard Cite

show abstract

“…Their scheme makes use of smart contracts to carry out all of the functions associated with a CP‐ABE workflow. However, the authors in Sharma et al, 45 regard the blockchain as an ultimately secure blackbox, transferring all risks from the authors' CP‐ABE model to blockchain smart contracts. As a result they did not take into account state‐of‐the‐art attacks on blockchain constructions or smart contract vulnerabilities.…”

Section: Related Workmentioning

confidence: 99%

“…Their scheme, however, computes the local ciphertext at a high cost, resulting in overall computation overhead, and suffers from the key escrow vulnerability over a trusted authority. Sharma et al 45 established a blockchain‐based cloud storage CP‐ABE system with revocation to address the centralized data storage drawback of existing ABE schemes. Their scheme makes use of smart contracts to carry out all of the functions associated with a CP‐ABE workflow.…”

Section: Related Workmentioning

confidence: 99%

Outsourcing multiauthority access control revocation and computations over medical data to mobile cloud

Koe

Chen

Tang

et al. 2022

Int J of Intelligent Sys

View full text Add to dashboard Cite

With recent advances in cloud computing, mobile devices are increasingly being used to record patient physiological parameters, and transfer them to a cloudbased hospital information system, for access control mediation over a variety of stakeholders. In such a cloud-based architecture, the patient must specify an access policy for a group of authorized parties towards its outsourced data. Multiauthority ciphertext-policy attribute-based encryption (CP-ABE) was provided as an innovative cloud-based access control cryptographic primitive to tackle the key escrow issue in a centralized architecture, and boost flexibility through cross-domain attributes management. Existing works, however, still have glaring drawbacks. First, they still rely on a trusted authority to generate and distribute user secret keys. Second, they do not simultaneously provide encryption, decryption, or revocation outsourcing, resulting in high processing and communication cost for both the data sender and the data receiver. Third, they do not support both user and attribute revocation, and the integrity of ciphertext downloaded from the cloud is not always verified at the user end. As a result, this paper exploits the dummy attribute technique and introduces a novel, efficient, and secure multiauthority

show abstract

“…There are currently few effective systems used to segregate waste into various types at a household level. Nowadays, researchers utilize advantages (i.e., transparency, trust, nonrepudiation, fairness) of blockchain technology in diverse applications such as payment system [6], cloud storage [7], file sharing [8], supply chain management (product traceability) [9], and healthcare [10]. Thus we utilized this technology in our proposed system.…”

Section: Introductionmentioning

confidence: 99%

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning

et al. 2022

View full text Add to dashboard Cite

Due to aggressive urbanization (with population size), waste increases exponentially, resulting in environmental damage. Even though it looks challenging, such an issue can be controlled if we can reuse them. To handle this, in our work, we design a machine learning and blockchainoriented system that identifies the waste objects/products and recommends to the user multiple 'Do-It-Yourself' (DIY) ideas to reuse or recycle. Blockchain records every transaction in the shared ledger to enable transaction verifiability and supports better decision-making. In this study, a Deep Neural Network (DNN) trained on about 11700 images is developed using ResNet50 architecture for object recognition (training accuracy of 94%). We deploy several smart contracts in the Hyperledger Fabric (HF) blockchain platform to validate recommended DIY ideas by blockchain network members. HF is a decentralized ledger technology platform that executes the deployed smart contracts in a secured Docker container to initialize and manage the ledger state. The complete model is delivered on a web platform using Flask, where our recommendation system works on a web scraping script written using Python. Fetching DIY ideas using web-scraping takes nearly 1 second on a desktop machine with an Intel Core-i7 processor with 8 cores, 16 GB RAM, installed with Ubuntu 18.04 64-bit operating system, and Python 3.6 package. Further, we evaluate blockchain-based smart contracts' latencies and throughput performances using the hyperledger caliper benchmark. To the best of our knowledge, this is the first work that integrates blockchain technology and deep learning for the DIY recommender system.

show abstract

Blockchain-based cloud storage system with CP-ABE-based access control and revocation process

Cited by 33 publications

References 48 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

Outsourcing multiauthority access control revocation and computations over medical data to mobile cloud

Do-It-Yourself Recommender System: Reusing and Recycling With Blockchain and Deep Learning

Contact Info

Product

Resources

About