Secure Channel Free Certificate-Based Searchable Encryption Withstanding Outside and Inside Keyword Guessing Attacks

Lu, Yang; Li, Jiguo; Zhang, Yichen

doi:10.1109/tsc.2019.2910113

Cited by 59 publications

(19 citation statements)

References 58 publications

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“…But most of them failed to consider the balance between the cost, implementation, and level of security. Some researchers [18,26,34] support the idea that main contributions should present adaptive security frameworks that withstand all known attacks and guarantee excellent performances (with low interference with data collection performances), lowcost, and efficient protection. It is to undertake cross-data platform challenges to meet the requirements of society.…”

Section: Metrics and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation on Privacy-Preserving Techniques For Personal Data

Hamza

Zettsu

2021

Proceedings of the 2021 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval

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Privacy protection technology has become a crucial part of almost every existing cross-data analysis application. The privacypreserving technique allows sharing sensitive personal information and preserves the users' privacy. This new trend influences data collection results by improving the analytical accuracy, increasing the number of participants, and better understand the participants' environments. Herein, collecting these personal data is significant to many advantageous applications such as health monitoring. Nevertheless, these applications encounter real privacy threats and concerns about handling personal information. This paper aims to determine privacy-preserving personal data mining technologies and analyze these technologies' advantages and shortcomings. Our purpose is to provide an in-depth understanding of personal data privacy and highlight important viewpoints, existing challenges, and future research directions.

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Section: Metrics and Discussionmentioning

confidence: 99%

“…The growth of huge-volume datasets and the intensive data analytics applications caused a significant challenge for privacy preservation techniques [13,26,29,30]. Personal data protection manages the relations between users and the information community, which collects personal data.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Privacy-Preserving Techniques For Personal Data

Hamza

Zettsu

2021

Proceedings of the 2021 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval

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“…Upon receipt of the user's token, the server can perform the keyword retrieval operations and returns the related search results. Since this seminal work, many researchers have made great efforts [27][28][29][30][31][32][33][34][35] and proposed a series of searchable encryption proposals to make them more efficient and enrich the search diversified, for example, fuzzy search [36][37][38], conjunctive search [39][40][41], and ranked search [42][43][44].…”

Section: Related Workmentioning

confidence: 99%

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Zhou

Nan

Wang

2021

Security and Communication Networks

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At present, with the popularity of Internet of things (IoT), a huge number of datasets generated by IoT devices are being uploaded to the cloud storage in remote data management service, but a series of security and privacy defects also arises, where one of the best ways for preventing data disclosure is encryption. Among them, searchable encryption (SE) is considered to be a very attractive cryptographic technology, since it allows users to search records in an encrypted form and to protect user’s data on an untrusted server. For the sake of enhancing search permission, attribute-based keyword search (ABKS) is an efficient method to provide secure search queries and fine-grained access authentications over ciphertexts. However, most existing ABKS schemes concentrate on single keyword search, which usually returns redundant and irrelevant results, so it would cost some unnecessary computation and communication resources. Furthermore, existing work in the literature mostly only supports unshared multiowner where a specific data owner owns each file, which is not able to satisfy more desired expressive search. In this work, we propose a novel attribute-based multikeyword search for shared multiowner (ABMKS-SM) primitive in IoT to achieve enhanced access control for users; meanwhile, it can support multikeyword search over ciphertexts and give a formal security analysis in the adaptive against chosen keyword attack (IND-CKA) model. Finally, we have also implemented this prototype to show efficiency when compared with some previous schemes.

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“…Therefore, scholars try to attack SSE schemes with some degree of information leakage [14][15][16][17][18][19][20][21]. In order to make searchable encryption more suitable for the needs of reality, the literatures [53][54][55][56][57] have studied various searchable encryption schemes. Li et al [54] presented an attributebased encryption scheme with outsourcing key issuing and outsourcing decryption, which can implement keyword search function.…”

Section: B Related Workmentioning

confidence: 99%

“…Lu et al [56] developed a privacypreserving and pairing-free multi-recipient certificateless encryption with keyword search scheme for the cloudassisted industrial internet of things. Lu et al [57] devised a certificate-based searchable encryption scheme, which not only provided resistance to the keyword guessing attack, but also had advantages such as implicit authentication, no key escrow and no secure channel. Blockchain-based keyword search.…”

Section: B Related Workmentioning

confidence: 99%

Blockchain-Based Searchable Encryption Scheme With Fair Payment

Yan

Yuan

et al. 2020

IEEE Access

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In order to solve the problem that most of the existing blockchain-based searchable encryption schemes only support exact keyword search and mutual distrust between the cloud server and the user, a searchable encryption scheme based on blockchain, that has functions such as file update dynamically, search results verification, fuzzy keyword search, and fair payment, is proposed. We use edit distance to generate the fuzzy keywords set. According to the un-modification characteristic of Ethereum blockchain and the security of the RSA accumulator, our scheme can verify the search results by the smart contract and realize the service-payment fairness between the user and the cloud server. The security analysis shows that the proposed scheme achieves non-adaptive semantic security. Performance analysis and experiment show that our scheme is efficient and meets the demand of search application in the cloud environment. INDEX TERMS Ethereum blockchain, fuzzy keyword search, fair payment, searchable encryption.

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Secure Channel Free Certificate-Based Searchable Encryption Withstanding Outside and Inside Keyword Guessing Attacks

Cited by 59 publications

References 58 publications

Investigation on Privacy-Preserving Techniques For Personal Data

Investigation on Privacy-Preserving Techniques For Personal Data

Fine-Grained Attribute-Based Multikeyword Search for Shared Multiowner in Internet of Things

Blockchain-Based Searchable Encryption Scheme With Fair Payment

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