A provably lightweight and secure DSSE scheme, with a constant storage cost for a smart device client.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 04 11 2023
accepted: 13 03 2024
medline: 25 4 2024
pubmed: 25 4 2024
entrez: 25 4 2024
Statut: epublish

Résumé

Outsourcing data to remote cloud providers is becoming increasingly popular amongst organizations and individuals. A semi-trusted server uses Searchable Symmetric Encryption (SSE) to keep the search information under acceptable leakage levels whilst searching an encrypted database. A dynamic SSE (DSSE) scheme enables the adding and removing of documents by performing update queries, where some information is leaked to the server each time a record is added or removed. The complexity of structures and cryptographic primitives in most existing DSSE schemes makes them inefficient, in terms of storage, and query requests generate overhead costs on the Smart Device Client (SDC) side. Achieving constant storage cost for SDCs enhances the viability, efficiency, and easy user experience of smart devices, promoting their widespread adoption in various applications while upholding robust privacy and security standards. DSSE schemes must address two important privacy requirements: forward and backward privacy. Due to the increasing number of keywords, the cost of storage on the client side is also increasing at a linear rate. This article introduces an innovative, secure, and lightweight Dynamic Searchable Symmetric Encryption (DSSE) scheme, ensuring Type-II backward and forward privacy without incurring ongoing storage costs and high-cost query generation for the SDC. The proposed scheme, based on an inverted index structure, merges the hash table with linked nodes, linking encrypted keywords in all hash tables. Achieving a one-time O(1) storage cost without keyword counters on the SDC side, the scheme enhances security by generating a fresh key for each update. Experimental results show low-cost query generation on the SDC side (6,460 nanoseconds), making it compatible with resource-limited devices. The scheme outperforms existing ones, reducing server-side search costs significantly.

Identifiants

pubmed: 38662720
doi: 10.1371/journal.pone.0301277
pii: PONE-D-23-36451
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0301277

Informations de copyright

Copyright: © 2024 Bulbul et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist

Auteurs

Salim Sabah Bulbul (SS)

Directorate General of Education Basra, Ministry of Education, Basra, Iraq.

Zaid Ameen Abduljabbar (ZA)

Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq.

Rana Jassim Mohammed (RJ)

Department of Computer Science, College of Education for Pure Sciences, University of Basrah, Basrah, Iraq.

Mustafa A Al Sibahee (MA)

National Engineering Laboratory for Big Data System Computing Technology, Shenzhen University, Shenzhen, PR China.
Computer Technology Engineering Department, Iraq University College, Basrah, Iraq.

Junchao Ma (J)

College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China.

Vincent Omollo Nyangaresi (VO)

Department of Computer Science and Software Engineering, Jaramogi Oginga Odinga University of Science & Technology, Bondo, Kenya.
Department of Applied Electronics, Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India.

Iman Qays Abduljaleel (IQ)

Department of Computer Science, College of Computer Science and Information Technology, University of Basrah, Basrah, Iraq.

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Classifications MeSH