Efficient Quantum-resistant Delegable Data Analysis Scheme with Revocation and Keyword Search in Mobile Cloud Computing
Yue Han, Jinguang Han, and Jianying Zhou

TL;DR
This paper presents a quantum-resistant, efficient, and delegable data analysis scheme for mobile cloud computing that ensures privacy, supports revocation and delegation, and minimizes interactions with the central authority.
Contribution
It introduces a novel scheme that combines quantum resistance, delegation, revocation, and keyword search in MCC, with formal security proofs and minimal interaction complexity.
Findings
Scheme is secure against quantum and classical attacks.
Supports delegated keyword search and function computation.
Requires only constant interactions with the central authority.
Abstract
With the rapid growth of smart devices and mobile internet, large-scale data processing is becoming increasingly important, while mobile devices remain resource-constrained. Mobile Cloud Computing (MCC) addresses this limitation by offloading tasks to the cloud. Nevertheless, the widespread adoption of MCC also raises challenges such as data privacy, selective computation, efficient revocation, and keyword search. Additionally, the development of quantum computers also threatens data security in MCC. To address these challenges, we propose an efficient quantum-resistant delegable data analysis scheme with revocation and keyword search (EQDDA-RKS) for MCC. In the proposed scheme, an authorised mobile device can perform keyword searches and compute inner product values over encrypted data without disclosing any additional information. Meanwhile, if a user's function key is compromised, it…
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Taxonomy
TopicsCryptography and Data Security · Cloud Data Security Solutions · Big Data and Digital Economy
