Attribute Based Encryption with Privacy Protection and Accountability for CloudIoT

Li, Jiguo; Zhang, Yichen; Ning, Jianting; Huang, Xinyi; Poh, Geong Sen; Wang, Debang

doi:10.1109/tcc.2020.2975184

Cited by 150 publications

(46 citation statements)

References 56 publications

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“…Li et al [14] proposed a ciphertext strategy that can realize the fine-grain access control of encrypted IOT data on the cloud based on an attribute encryption scheme, which can ensure user privacy. However, this solution does not involve outsourcing operations of encryption and decryption so that it owning huge computational and storageburden for cloud, nor does it support keyword search.…”

Section: Related Workmentioning

confidence: 99%

Non-Repudiation Storage and Access Control Scheme of Insurance Data Based on Blockchain in IPFS

et al. 2020

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The insurance business plays a quite significant role in people's lives, but in the process of claim settlement, there are still various frauds such that the insurance companies' refusal to compensate or customers' malicious fraud to obtain compensation. Therefore, it is very important to ensure fair and just claims. In this paper, by combining the blockchain technology and the ciphertext-policy attributebased encryption system, we build a scheme for secure storage and update for insurance records under the InterPlanetary File System (IPFS) storage environment in the insurance system. In this scheme, we use the fog node to outsource encryption of insurance records to improve the efficiency of the staff; In addition, we store encrypted insurance records on IPFS to ensure the security of the storage platform and avoid the single point failure of the centralized mechanism. In addition, we use the immutability of the blockchain to achieve the non-repudiation of both insurance companies and the client. The security proof shows that the proposed scheme can achieve selective security against selected keyword attacks. Our scheme is efficient and feasible under performance analysis and real data set experiments.

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Section: Related Workmentioning

confidence: 99%

Non-Repudiation Storage and Access Control Scheme of Insurance Data Based on Blockchain in IPFS

et al. 2020

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“…The scheme achieves unconditional privacy-preserving, but cannot support group users' identity trace and the revocation of group users. Li et al [34] presented a privacy-preserving cloud auditing scheme with attribute-based encryption, which also cannot support the revocation of group users.…”

Section: A Related Workmentioning

confidence: 99%

Privacy-Preserving Cloud Auditing for Multiple Users Scheme With Authorization and Traceability

Yang

Wang

et al. 2020

IEEE Access

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With the widespread application of cloud storage, users could obtain many conveniences such as low-price data remote storage and flexible data sharing. Considering cloud service provider (CSP) is not full-trusted, lots of cloud auditing schemes are proposed to ensure the shared data security and integrity. However, existing cloud auditing schemes have some security risks, such as user identity disclosure, denial of service attack and single-manager abuse of power. To solve the above issues, we use certificateless signature technology to construct a privacy-preserving cloud auditing scheme for multiple users with authorization and traceability in this paper. Unlike the traditional schemes, our scheme realizes user identity anonymity without group signature and ring signature techniques, which guarantees the tag is compact. Meanwhile, our scheme supports that at least d managers could trace the identity of malicious user collaboratively, which avoids the abuse of single-manager power and provides non-frameability. Furthermore, we introduce an identity authentication process between the third-party auditor (TPA) and the CSP to prevent the denial of service attack. That is, our scheme could solve the problem that anyone can challenge the CSP for the proofs, which averts network congestion and waste of cloud resources. In terms of function, the proposed scheme also supports efficient user revocation from a group. Certificateless cryptography ensures that our scheme does not involve certificate management burden and the key escrow problem. The security analysis shows that our scheme is provably secure against two types of adversaries in the environment of certificateless cryptography. The performance analysis demonstrates that our scheme is efficient.

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“…and (A |Y |−1 or A |Y | )). We set the number of DU's attributes s ∈ [10,20,30,40,50], the number of leaf nodes in policy tree |Y | ∈ [20,40,60,80,100], the number of keyword in keyword dictionary n = 500, the number of keyword appeared in a file m = 100, the |Z * p | = 160 and the number of query keywords m ∈ [3,5,7,9,11].…”

Section: Experimental Performancementioning

confidence: 99%

An Efficient Attribute-Based Multi-Keyword Search Scheme in Encrypted Keyword Generation

et al. 2020

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With the growing popularity of cloud computing in recent years, data owners (DOs) now prefer to outsource their data to cloud servers and allow the specific data users (DUs) to retrieve the data. Searchable encryption is an important tool to provide secure search over the encrypted cloud data without infringing data confidentiality and data privacy. In this work, we consider a secure search service providing fine-grained and search functionality, called attribute-based multiple keyword search (ABMKS), which can be seen as an extension of searchable encryption. In the existing ABMKS schemes, the computation operations in the encrypted keyword index generation are time-consuming modular exponentiation, and the number of which is linearly growing with the factor m. Here m is the number of keywords embedded in a file. To reduce the computation overhead, in this paper, we propose an ABMKS with only multiplication operations in encrypted keyword index generation. As a result, the computation cost of the encrypted keyword index generation is more efficient than the existing schemes. In addition, the encrypted keyword indexes are aggregated into one item, which is regardless of the number of underlying keywords in a file data. Finally, the security and the performance analysis demonstrate that our scheme is both efficient and secure.

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Attribute Based Encryption with Privacy Protection and Accountability for CloudIoT

Cited by 150 publications

References 56 publications

Non-Repudiation Storage and Access Control Scheme of Insurance Data Based on Blockchain in IPFS

Non-Repudiation Storage and Access Control Scheme of Insurance Data Based on Blockchain in IPFS

Privacy-Preserving Cloud Auditing for Multiple Users Scheme With Authorization and Traceability

An Efficient Attribute-Based Multi-Keyword Search Scheme in Encrypted Keyword Generation

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