Algorithm Substitution‐Resistant <scp>SM9</scp>‐Based Searchable Encryption With Cryptographic Reverse Firewall for Cloud Storage

ABSTRACT To protect data privacy in cloud storage, sensitive data is commonly encrypted before being uploaded to a cloud storage server (CSS). This process challenges secure and efficient ciphertext retrieval. Identity‐based encryption with keyword search (IBEKS) enables secure ciphertext retrieval but remains vulnerable to internal adversary attacks, particularly algorithm substitution attacks (ASA) in SM9‐based searchable encryption schemes. Additionally, existing protocols lack proactive defense mechanisms, making them vulnerable to insider threats that compromise system integrity. To address these challenges, this article proposes SM9‐based Searchable Encryption with Cryptographic Reverse Firewall (SM9SE‐CRF), a novel scheme designed to resist internal attacks while ensuring efficient ciphertext retrieval. Initially, a re‐randomizable IBEKS framework is developed as the foundation for constructing the SM9 searchable encryption scheme, enhancing both security and performance. Furthermore, Cryptographic reverse firewalls are deployed at both the Key Generation Center (KGC) and user ends, which dynamically re‐randomize cryptographic parameters to mitigate risks posed by internal adversaries. The SM9SE‐CRF scheme is implemented using the JPBC library and evaluated through comprehensive security and performance analyses. Results demonstrate that SM9SE‐CRF effectively mitigates offline keyword guessing attacks and ASA threats from malicious insiders. Performance evaluations reveal that at a 128‐bit security level, SM9SE‐CRF achieves a 93% reduction in runtime compared to existing schemes, with the cryptographic reverse firewall adding merely 1.16% overhead. This minimal computational cost highlights the practical applicability of SM9SE‐CRF in privacy‐preserving cloud storage systems, particularly in enterprise data sharing, secure outsourced storage, and cloud‐based information retrieval applications.

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Publication Details

Journal
Concurrency and Computation Practice and Experience
Published
2025-04-20
DOI
https://doi.org/10.1002/cpe.70073
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithm Substitution‐Resistant SM9‐Based Searchable Encryption With Cryptographic Reverse Firewall for Cloud Storage

Minlan Duan, Yaling Xun, Gaimei Gao, Chunxia Liu et al.
Concurrency and Computation Practice and Experience
Cryptography and Data Security
article

Algorithm Substitution‐Resistant SM9‐Based Searchable Encryption With Cryptographic Reverse Firewall for Cloud Storage

Minlan Duan, Yaling Xun, Gaimei Gao, Chunxia Liu, Weichao Dang
article en

Abstract

ABSTRACT To protect data privacy in cloud storage, sensitive data is commonly encrypted before being uploaded to a cloud storage server (CSS). This process challenges secure and efficient ciphertext retrieval. Identity‐based encryption with keyword search (IBEKS) enables secure ciphertext retrieval but remains vulnerable to internal adversary attacks, particularly algorithm substitution attacks (ASA) in SM9‐based searchable encryption schemes. Additionally, existing protocols lack proactive defense mechanisms, making them vulnerable to insider threats that compromise system integrity. To address these challenges, this article proposes SM9‐based Searchable Encryption with Cryptographic Reverse Firewall (SM9SE‐CRF), a novel scheme designed to resist internal attacks while ensuring efficient ciphertext retrieval. Initially, a re‐randomizable IBEKS framework is developed as the foundation for constructing the SM9 searchable encryption scheme, enhancing both security and performance. Furthermore, Cryptographic reverse firewalls are deployed at both the Key Generation Center (KGC) and user ends, which dynamically re‐randomize cryptographic parameters to mitigate risks posed by internal adversaries. The SM9SE‐CRF scheme is implemented using the JPBC library and evaluated through comprehensive security and performance analyses. Results demonstrate that SM9SE‐CRF effectively mitigates offline keyword guessing attacks and ASA threats from malicious insiders. Performance evaluations reveal that at a 128‐bit security level, SM9SE‐CRF achieves a 93% reduction in runtime compared to existing schemes, with the cryptographic reverse firewall adding merely 1.16% overhead. This minimal computational cost highlights the practical applicability of SM9SE‐CRF in privacy‐preserving cloud storage systems, particularly in enterprise data sharing, secure outsourced storage, and cloud‐based information retrieval applications.

Concurrency and Computation Practice and ExperienceVol. 37(9-11)
Taiyuan University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 96%
Cryptography and Data Security
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