Relevant bibliographies by topics / Provable data possession (PDP)

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Academic literature on the topic 'Provable data possession (PDP)'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Provable data possession (PDP)"

1

Li, Bin, Chen Lei Cao, Jian Yi Liu, and Jin Xia Wei. "A New Delegation Provable Data Possession in Public Cloud Storage." Applied Mechanics and Materials 644-650 (September 2014): 2239–44. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2239.

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Though Cloud storage has developed rapidly in recent years, there still exist some problems obviously. Provable Data Possession (PDP) is proposed to solve the problem of data integrity verification at untrusted cloud stores. This study built a new delegation Provable Data Possession (delegation-PDP), which solves problem when the client has no ability to check its remote data. We study the delegation-PDP and use proxy re-encryption to design it. Then we use the improved Elgamal-based algorithm to implement the scheme. Through security analysis and performance analysis, our protocol is provable secure and efficient.
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2

Jayaraman, Indumathi, and Mokhtar Mohammed. "Secure Privacy Conserving Provable Data Possession (SPC-PDP) framework." Information Systems and e-Business Management 18, no. 3 (2019): 351–77. http://dx.doi.org/10.1007/s10257-019-00417-8.

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3

Zhou, Fucai, Su Peng, Jian Xu, and Zifeng Xu. "Identity-Based Batch Provable Data Possession with Detailed Analyses." International Journal of Foundations of Computer Science 28, no. 06 (2017): 743–60. http://dx.doi.org/10.1142/s0129054117400160.

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In the era of big data, cloud storages become prevalent while security issues on outsourced data emerge. Without the physical control of the data owners, the outsourced data faces more risks. Provable Data Possession (PDP) is a probabilistic technique for checking whether data is correctly stored in remote servers without retrieving the entire data. For many previous PDP schemes, correctly choosing public keys for data owners relies on the security of Public Key Infrastructure (PKI), which is resource consuming. In this paper, we propose an Identity-Based Batch Provable Data Possession (ID-BPDP) scheme to eliminate the certificate management. Meanwhile, to the best of our knowledge, it is the first identity-based provable data possession scheme supporting batch verification for multiple owners and multiple clouds simultaneously to reduce computation cost greatly. We prove that our scheme is correct and secure based on bilinear pairings and the hardness assumption of Computational Diffie-Hellman problem, and also give detailed analyses to show that our scheme is able to verify the integrity of data efficiently.
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4

Zhou, Caixue. "A Certificate-Based Provable Data Possession Scheme in the Standard Model." Security and Communication Networks 2021 (September 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/9974485.

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Certificate-based cryptosystem can not only resolve the private key escrow problem inherent in the identity-based cryptosystem but also reduce the cost of public key certificate management in the public key infrastructure-(PKI-) based cryptosystem. Provable data possession (PDP) can ensure the integrity of users’ data stored in the cloud at a very high probability. By combining these two concepts, we propose a certificate-based PDP scheme. We prove that our scheme is secure in the standard model assuming that the Squ-CDH problem is hard. Based on the index logic table, our scheme can be extended to support dynamic operations easily. Efficiency analysis shows that our scheme has high efficiency.
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5

Alomari, Sara, Mona Alghamdi, and Fahd S. Alotaibi. "Enhancing Big Data Auditing." Computer and Information Science 11, no. 1 (2018): 90. http://dx.doi.org/10.5539/cis.v11n1p90.

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The auditing services of the outsourced data, especially big data, have been an active research area recently. Many schemes of remotely data auditing (RDA) have been proposed. Both categories of RDA, which are Provable Data Possession (PDP) and Proof of Retrievability (PoR), mostly represent the core schemes for most researchers to derive new schemes that support additional capabilities such as batch and dynamic auditing. In this paper, we choose the most popular PDP schemes to be investigated due to the existence of many PDP techniques which are further improved to achieve efficient integrity verification. We firstly review the work of literature to form the required knowledge about the auditing services and related schemes. Secondly, we specify a methodology to be adhered to attain the research goals. Then, we define each selected PDP scheme and the auditing properties to be used to compare between the chosen schemes. Therefore, we decide, if possible, which scheme is optimal in handling big data auditing.
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6

Mathiyalahan, Subasri, Shobana Manivannan, Mahalakshmi Nagasundaram, and R. Ezhilarasie. "Data Integrity Verification Using MPT (Merkle Patricia Tree) in Cloud Computing." International Journal of Engineering & Technology 7, no. 2.24 (2018): 500. http://dx.doi.org/10.14419/ijet.v7i2.24.12146.

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Data integrity of outsourced data is main problem in CSP (cloud service provider). Space overhead and computation complexity are very high issue in recent PDP(Provable Data Possession) verification schemes. To overcome such issues MPDP (Mobile Provable Data Possession) schemes using hash tree data structure and Boneh-Lynn-Snacham short signature scheme have been used over decade. Data dynamics is well supported in MPDP scheme via block less verification, dynamic data operations, stateless verification, and verification out sourcing. But still there are some operations which can be performed much more efficiently in some other way than that of the two methods prescribed above. Operations in particular, data modification operations like insertion and deletion operations is somewhat difficult or in other words time consuming in hash tree data structure. In this paper, we have deployed an improved hash tree structure called MPT (Merkle Patricia Tree) for integrity checking.MPT is combination of MHT (Merkle Hash Tree) and patricia tree where each node consists of key-value pairs. As of now, MPT has been used only in block chain technology for providing authentication of transactions through Ethereum.
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7

Yan, Hao, Yanan Liu, Zheng Zhang, and Qian Wang. "Efficient Privacy-Preserving Certificateless Public Auditing of Data in Cloud Storage." Security and Communication Networks 2021 (May 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/6639634.

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Cloud computing is a fast-growing technology which supplies scalable, innovative, and efficient business models. However, cloud computing is not fully trusted, and the security of the data outsourced in cloud storage needs to be guaranteed. One of the hottest issues is how to ensure the integrity of the data in cloud storage. Until now, many researchers have proposed lots of provable data possession (PDP) schemes to deal with the problem of data integrity audition. Nevertheless, very little effort has been devoted to preserve the data uploader’s privacy while auditing the integrity of data shared in a group. To overcome the shortcoming, we propose a novel certificateless PDP protocol to efficiently audit the integrity of data shared in a workgroup with user privacy preserving. Due to the inherent structural advantage of the certificateless crypto mechanism, our PDP scheme eliminates the key escrow problem and the certificate management problem simultaneously. Moreover, the audition process in our scheme does not need any user’s identity which helps to keep the anonymity of data uploader. We give for our scheme a detailed security proof and efficiency analysis. Experiment results of performance evaluation demonstrate that our new scheme is very efficient and feasible.
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8

Rani, R. Santha Maria, and Dr Lata Ragha. "Dynamic Public Data Auditing Schemes on Cloud: A Survey." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 1 (2018): 76. http://dx.doi.org/10.23956/ijarcsse.v8i1.518.

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Cloud computing provides elastic computing and storage resource to users. Because of the characteristic the data is not under user’s control, data security in cloud computing is becoming one of the most concerns in using cloud computing resources. To improve data reliability and availability, Public data auditing schemes is used to verify the outsourced data storage without retrieving the whole data. However, users may not fully trust the cloud service providers (CSPs) because sometimes they might be dishonest. Therefore, to maintain the integrity of cloud data, many auditing schemes have been proposed. In this paper, analysis of various existing auditing schemes with their consequences is discussed. Keywords: — Third Party Auditor (TPA), Cloud Service Provider (CSP), Merkle-Hash Tree (MHT), Provable data Possession (PDP), Dynamic Hash Table (DHT).
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9

Yang, Hanzhe, Ruidan Su, Pei Huang, et al. "PMAB: A Public Mutual Audit Blockchain for Outsourced Data in Cloud Storage." Security and Communication Networks 2021 (June 1, 2021): 1–11. http://dx.doi.org/10.1155/2021/9993855.

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With the rapid growth of data, limited by the storage capacity, more and more IoT applications choose to outsource data to Cloud Service Providers (CSPs). But, in such scenarios, outsourced data in cloud storage can be easily corrupted and difficult to be found in time, which brings about potential security issues. Thus, Provable Data Possession (PDP) protocol has been extensively researched due to its capability of supporting efficient audit for outsourced data in cloud. However, most PDP schemes require the Third-Party Auditor (TPA) to audit data for Data Owners (DOs), which requires the TPA to be trustworthy and fair. To eliminate the TPA, we present a Public Mutual Audit Blockchain (PMAB) for outsourced data in cloud storage. We first propose an audit chain architecture based on Ouroboros and an incentive mechanism based on credit to allow CSPs to audit each other mutually with anticollusion (any CSP is not willing to help other CSPs conceal data problems). Then, we design an audit protocol to achieve public audit efficiently with low cost of audit verification. Rigorous analysis explains the security of PMAB using game theory, and performance analysis shows the efficiency of PMAB using the real-world dataset.
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10

Tang, Fei, Zhuo Feng, Qianhong Gong, Yonghong Huang, and Dong Huang. "Privacy-Preserving Scheme in the Blockchain Based on Group Signature with Multiple Managers." Security and Communication Networks 2021 (November 24, 2021): 1–8. http://dx.doi.org/10.1155/2021/7094910.

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Group signature can provide the privacy-preserving authentication mechanism for the blockchain. In the traditional blockchain privacy-preserving scheme based on the group signature, there is only one group manager to revoke the anonymity. Thus, the traditional scheme will have single point of failure and key escrow problems. To solve these problems, we propose a privacy-preserving scheme in the blockchain based on the group signature with multiple managers. Our scheme is constructed based on bilinear pairing and the technique of distributed key generation. Finally, we analyze the application of the proposed scheme in the field of blockchain-based provable data possession (PDP), as well as the correctness and security of the scheme.
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