PHP-CABE: Partially Hidden Policy Comparable Attribute-Based Encryption with Computation Outsourcing

With the widespread application of Internet of Things (IoT) devices, an increasing number of edge users are utilizing these devices to collect various types of data, such as health data and e-government data. To achieve convenient and efficient data interconnection, massive user data is stored in central cloud service providers (CSPs). However, this storage method poses new challenges for user privacy and data security protection. Cipher-text-Policy Attribute-Based Encryption (CPABE) schemes are effective methods for achieving fine-grained access control in cloud storage scenarios. However, existing CPABE methods cannot provide flexible access control policies, and access policies exposed in public cloud environments also threaten data security. Based on this, we propose a Partially Hidden Policy with Comparable Attributes-Based Encryption (PHP-CABE) scheme that combines computation outsourcing. To realize access control policies for comparable attributes, we perform special encoding of the numerical ranges of comparable attributes. Simultaneously, to achieve system flexibility while safeguarding user privacy, we design a partial hiding mechanism tailored for this flexible encoding scheme. Additionally, we outsource most of the attribute verification and decryption computations to the CSP. We rigorously prove that the PHP-CABE scheme is secure and demonstrate our scheme’s high efficiency via performance analysis.

Authors

Institutions

Publication Details

Published
2025-07-11
DOI
https://doi.org/10.1109/cisat66811.2025.11181960
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

PHP-CABE: Partially Hidden Policy Comparable Attribute-Based Encryption with Computation Outsourcing

Jun Zhang, Jingyang Li, Zihui Wang, Zhongcheng Wu
Cryptography and Data Security
article

PHP-CABE: Partially Hidden Policy Comparable Attribute-Based Encryption with Computation Outsourcing

Jun Zhang, Jingyang Li, Zihui Wang, Zhongcheng Wu
article en

Abstract

With the widespread application of Internet of Things (IoT) devices, an increasing number of edge users are utilizing these devices to collect various types of data, such as health data and e-government data. To achieve convenient and efficient data interconnection, massive user data is stored in central cloud service providers (CSPs). However, this storage method poses new challenges for user privacy and data security protection. Cipher-text-Policy Attribute-Based Encryption (CPABE) schemes are effective methods for achieving fine-grained access control in cloud storage scenarios. However, existing CPABE methods cannot provide flexible access control policies, and access policies exposed in public cloud environments also threaten data security. Based on this, we propose a Partially Hidden Policy with Comparable Attributes-Based Encryption (PHP-CABE) scheme that combines computation outsourcing. To realize access control policies for comparable attributes, we perform special encoding of the numerical ranges of comparable attributes. Simultaneously, to achieve system flexibility while safeguarding user privacy, we design a partial hiding mechanism tailored for this flexible encoding scheme. Additionally, we outsource most of the attribute verification and decryption computations to the CSP. We rigorously prove that the PHP-CABE scheme is secure and demonstrate our scheme’s high efficiency via performance analysis.

Hefei Institutes of Physical Science (CN), High Magnetic Field Laboratory (CN)
Openalex Percentile: Top 86%
Cryptography and Data Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

PHP-CABE: Partially Hidden Policy Comparable Attribute-Based Encryption with Computation Outsourcing — Jun Zhang, Jingyang Li, et al. · (2025) | TGRS Research Map | TGRS