KA2SE: Key-Aggregation Authorized Searchable Encryption Scheme for Data Sharing in Wireless Sensor Networks

As a promising technology, key-aggregation searchable encryption with constant computation overhead is especially suitable for sensor nodes with limited computation resources in wireless sensor networks. However, in most of the existing key-aggregation searchable encryption schemes, the authorized aggregation key is generated in a deterministic way. As a result, these schemes suffer from “<i>Key Forge Attack</i>” and “<i>Trapdoor Forge Attack</i>” that we proposed and hence fail to support the security property as they claimed (which is an important goal to be achieved in key-aggregation searchable encryption schemes). To fix these flaws, in this paper, we identify the security challenges related to key-aggregation searchable encryption and propose a lightweight key-aggregation authorized searchable encryption scheme based on attribute-based encryption, called KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>SE. It enables a data owner to share encrypted data with an authorized query user by issuing only a single authorized aggregation key, and the authorized query user only needs to submit a single trapdoor to the cloud server to perform keyword search. We formulate the security definitions for KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>SE and prove its security. Finally, empirical evaluations demonstrate that KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> SE is computationally efficient in comparison with existing schemes.

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Publication Details

Journal
IEEE Transactions on Services Computing
Published
2024-11-04
DOI
https://doi.org/10.1109/tsc.2024.3491378
Citations
3
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
1.04

Funders

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article

KA2SE: Key-Aggregation Authorized Searchable Encryption Scheme for Data Sharing in Wireless Sensor Networks

Wei Wu, Chao Lin, Kai Zhang, Jianting Ning et al.
3 citations
IEEE Transactions on Services Computing
Cryptography and Data Security
1.04
article

KA2SE: Key-Aggregation Authorized Searchable Encryption Scheme for Data Sharing in Wireless Sensor Networks

Wei Wu, Chao Lin, Kai Zhang, Jianting Ning, Haijiang Wang
article en
3 citations

Abstract

As a promising technology, key-aggregation searchable encryption with constant computation overhead is especially suitable for sensor nodes with limited computation resources in wireless sensor networks. However, in most of the existing key-aggregation searchable encryption schemes, the authorized aggregation key is generated in a deterministic way. As a result, these schemes suffer from “<i>Key Forge Attack</i>” and “<i>Trapdoor Forge Attack</i>” that we proposed and hence fail to support the security property as they claimed (which is an important goal to be achieved in key-aggregation searchable encryption schemes). To fix these flaws, in this paper, we identify the security challenges related to key-aggregation searchable encryption and propose a lightweight key-aggregation authorized searchable encryption scheme based on attribute-based encryption, called KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>SE. It enables a data owner to share encrypted data with an authorized query user by issuing only a single authorized aggregation key, and the authorized query user only needs to submit a single trapdoor to the cloud server to perform keyword search. We formulate the security definitions for KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>SE and prove its security. Finally, empirical evaluations demonstrate that KA<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula> SE is computationally efficient in comparison with existing schemes.

IEEE Transactions on Services ComputingVol. 18(1)
Fujian Normal University (CN), Zhejiang University of Science and Technology (CN), Hong Kong University of Science and Technology (HK), Shanghai University of Electric Power (CN), Wuhan University (CN), University of Hong Kong (HK)
National Natural Science Foundation of China, Shanghai Rising-Star Program, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 18%
Cryptography and Data Security
1.04
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