ProvChain: A Blockchain-Based Data Provenance Architecture in Cloud Environment with Enhanced Privacy and Availability
By Xueping Liang, S. Shetty, Deepak K. Tosh, Charles A. Kamhoua, K. Kwiat, Laurent L. Njilla. IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, 2017
664 citations recorded by the source corpus.
Subfields: Information Systems, Information Systems and Management
View Paper: https://www.semanticscholar.org/paper/84eae1234a6a9d64b6be73756ef9abafd31a83bf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Dusist Niyato
- Dinh C. Nguyen
- Pubudu N. Pathirana
- Ming Ding
- Aruna Prasad Seneviratne
- Zehui Xiong
- Asma Khatoon
- José Luis Hernández-Ramos
In Information Systems and Management
- Madhusanka Liyanage
- Ben Shneiderman
- Horst Treiblmaier
- Muhammad Salek Ali
- Massimo Vecchio
- Ye Diana Wang
- Henry H. Emurian
- Meredith Ringel Morris
Citations in the corpus
- Blockchain for Internet of Things: A Survey (2019, background): “scenarios like personal reputation systems [117], sharing economy [118], data provenance [119], and the medication supply chain [120].”
- Bridging the Gap Between Ethics and Practice (2020, background): “blockchain [70], ensuring that the data is still representative in the face of change, and connecting with people responsible for datasets are promising possibilities.”
- Blockchain for 5G and Beyond Networks: A State of the Art Survey (2019, methodology): “To provide decentralized and trusted data provenance services on cloud computing, the work in [197] uses blockchain”
- A Survey of Blockchain From the Perspectives of Applications, Challenges, and Opportunities (2019, neutral): “A block consists of the block header and the block body [41].”
- Blockchain-based traceability in Agri-Food supply chain management: A practical implementation (2018, methodology): “For data reliability, ProvChain [4] explored the use of the Blockchain technology in a cloud storage scenario to verify three levels of data provenance: collection, storage and validation.”
- An Overview on Smart Contracts: Challenges, Advances and Platforms (2019, positive): “ere are any data changes, smart contracts will be invoked to track the transformations made to the data. In this manner, any malicious falsifications of data can be captured. In addition, Liang et al. [116] proposed ProvChain to collect and verify cloud data provenance. The main idea of ProvChain is ”
- A Blockchain-Based Smart Contract System for Healthcare Management (2020, background): “Xueping Liang et al. [58] uses the cloud services scenario and select the cloud record as a data unit to quickly identify user activities to gather data from the source.”
- A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, neutral): “Reference [285] focuses on data provenance.”
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks (2018, methodology): “In [194], the blockchain is used as a tamper-proof provenance database on the cloud server side to record the history of the creation and operations performed on a cloud data object.”
- Privacy-Preserving Solutions for Blockchain: Review and Challenges (2019, methodology): “In this direction [149] introduces ProvChain, a blockchain-based data provenance architecture to provide assurance of data operations in a”
- Security Services Using Blockchains: A State of the Art Survey (2018, neutral): “ProvChain has been implemented and evaluated in [68].”
- Survey on blockchain based smart contracts: Applications, opportunities and challenges (2021, methodology): “[266] designed and implemented ProvChain, which is a decentralized architecture for trusted cloud data provenance.”
- A systematic literature review of blockchain-based applications: Current status, classification and open issues (2019, neutral): “…to capital markets and a more efficient way for performing operations like securities and derivatives transaction (Van de Velde et al., 2016; Wu and Liang, 2017), digital payments (Papadopoulos et al., 2015; Beck et al., 2016; Min et al., 2016; Yamada et al., 2017; English and Nezhadian, 2017;…”
- Integrating blockchain for data sharing and collaboration in mobile healthcare applications (2017, background): “providing the robustness against failure and attacks, as well as functions for data provenance [4].”
- A Deep Blockchain Framework-Enabled Collaborative Intrusion Detection for Protecting IoT and Cloud Networks (2021, background): “several security flaws and attacks in blockchain and its associated technology, such as bitcoins and Ethereum [6], [23].”