Security Measures for Dynamic Encrypted Search  Data

C. Vishwas; J. Kumara Gaurav; D. Swaminathan

Security Measures for Dynamic Encrypted Search Data

Author(s)	C. Vishwas, J. Kumara Gaurav, D. Swaminathan
Country	India
Abstract	In the field of cloud security, Verifiable Searchable Symmetric Encryption (VSSE) is crucial, allowing users to retrieve encrypted cloud data through keywords while preserving the integrity of the results. However, current VSSE methods struggle with dynamic updates to cloud data because verifying these updates using asymmetric-key cryptography is time-consuming, especially with large data volumes. To address this issue, we propose a novel approach for efficient keyword searches on dynamically encrypted cloud data using symmetric-key-based verification. Our method introduces Accumulative Authentication Tags (AATs), which utilize symmetric-key cryptography to create authentication tags for each keyword. AATs are designed to accumulate updates, facilitating easy authentication tag adjustments during dynamic data changes. Additionally, we propose a secure indexing system that includes a search table (ST) with orthogonal lists and a verification list (VL) with AATs. Through extensive security analysis and performance testing, we show that our approach is both effective and efficient. This solution not only meets the challenge of managing dynamic updates for encrypted cloud data but also provides strong security, representing a significant advancement in cloud security technology.
Keywords	Verifiable Searchable Symmetric Encryption (VSSE), Cloud Security, Dynamic Encrypted Cloud Data, Keyword Search, Efficient Verification, Symmetric-Key Cryptography, Accumulative Authentication Tags (AATs), Secure Indexing, Orthogonal Lists, Performance Evaluation
Field	Engineering
Published In	Volume 4, Issue 6, November-December 2023
Published On	2023-12-07

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Security Measures for Dynamic Encrypted Search Data

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