Verifiable Multilevel Dynamic Searchable Encryption With Forward and Backward Privacy in Cloud-Assisted IoT

The Internet of Things (IoT) boom has enabled massive data collection in cloud servers. Therefore, access efficiency and data privacy in cloud storage services have become a significant concern. Data and users are hierarchical in IoT applications, which require fine-grained multilevel access control. Additionally, achieving public verification to resist the malicious server and clients is indispensable. Aiming at the challenge above, we propose a new forward private multilevel dynamic searchable symmetric encryption (MLDSSE) scheme called Peony, employing multilevel linked lists and constrained pseudorandom function, which is more efficient and secure. Then, we introduce a cryptographic primitive named multilevel symmetric revocable encryption (MSRE), and we give a general method for constructing a novel forward and Type-II backward-private MLDSSE scheme Peony++ based on MSRE. Further, we design the multilevel digests and utilize the smart contract as a trusted platform to support public verification for Peony++. Theoretical analysis and experimental evaluations show that Peony achieves higher security and reduces search time by an average of 35.81% compared to the state-of-the-art MLDSSE scheme. To the best of our knowledge, Peony++ is the only multilevel searchable encryption currently available that can achieve forward and Type-II backward privacy, all while balancing efficiency and functionality.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-09-10
DOI
https://doi.org/10.1109/jiot.2024.3457270
Citations
2
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.69
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article

Verifiable Multilevel Dynamic Searchable Encryption With Forward and Backward Privacy in Cloud-Assisted IoT

Yue Ge, Jie Ma, Ying Gao, Jianting Ning et al.
2 citations
IEEE Internet of Things Journal
Cryptography and Data Security
0.69
article

Verifiable Multilevel Dynamic Searchable Encryption With Forward and Backward Privacy in Cloud-Assisted IoT

Yue Ge, Jie Ma, Ying Gao, Jianting Ning, Xiaofeng Chen
article en
2 citations

Abstract

The Internet of Things (IoT) boom has enabled massive data collection in cloud servers. Therefore, access efficiency and data privacy in cloud storage services have become a significant concern. Data and users are hierarchical in IoT applications, which require fine-grained multilevel access control. Additionally, achieving public verification to resist the malicious server and clients is indispensable. Aiming at the challenge above, we propose a new forward private multilevel dynamic searchable symmetric encryption (MLDSSE) scheme called Peony, employing multilevel linked lists and constrained pseudorandom function, which is more efficient and secure. Then, we introduce a cryptographic primitive named multilevel symmetric revocable encryption (MSRE), and we give a general method for constructing a novel forward and Type-II backward-private MLDSSE scheme Peony++ based on MSRE. Further, we design the multilevel digests and utilize the smart contract as a trusted platform to support public verification for Peony++. Theoretical analysis and experimental evaluations show that Peony achieves higher security and reduces search time by an average of 35.81% compared to the state-of-the-art MLDSSE scheme. To the best of our knowledge, Peony++ is the only multilevel searchable encryption currently available that can achieve forward and Type-II backward privacy, all while balancing efficiency and functionality.

IEEE Internet of Things JournalVol. 11(24)
Fujian Normal University (CN), Beihang University (CN)
Openalex Percentile: Top 24%
Cryptography and Data Security
0.69
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Verifiable Multilevel Dynamic Searchable Encryption With Forward and Backward Privacy in Cloud-Assisted IoT — Yue Ge, Jie Ma, et al. · IEEE Internet of Things Journal (2024) | TGRS Research Map | TGRS