A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data

Anushya S, R. Chennappan

2023

Abstract

The rapid evolution of cloud computing has prompted the substantial migration of data to cloud servers for efficient storage and management. To address privacy concerns, encryption of data before upload is imperative. However, conventional data processing methods face challenges in encrypted domains (ED). Data retrieval stands as a significant hurdle for cloud storage services, particularly when seeking sensitive information encrypted for traditional data usage based on plaintext keyword searches. The approval of a cloud data encrypted search service becomes crucial in this context. Given the expansive user base and document repository in the cloud, facilitating multiple keywords in search requests and presenting documents in relevance order is essential. Unlike existing mechanisms focusing on single or Boolean keyword searches, our proposed method, termed "Multi-keyword Ranked Search over Encrypted Data in Cloud Computing (MRSE)," incorporates a well-organized similarity measure known as "coordinate matching." This measure aims to maximize matches for effective data document retrieval based on search queries. In this paper, we establish stringent privacy requirements for such a secure cloud data utilization system, emphasizing the significance of enabling multi-keyword inquiries and delivering results in accordance with their relevance to the keywords.

Paper Citation

in Harvard Style

S A. and Chennappan R. (2023). A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 206-209. DOI: 10.5220/0012611000003739

in Bibtex Style

@conference{ai4iot23,
author={Anushya S and R. Chennappan},
title={A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={206-209},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012611000003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - A Multi-Keyword Searchable Encryption Scheme Based on Probability Trapdoor over Encryption Cloud Data
SN - 978-989-758-661-3
AU - S A.
AU - Chennappan R.
PY - 2023
SP - 206
EP - 209
DO - 10.5220/0012611000003739
PB - SciTePress