A Secure Multi-Modal Encrypted Retrieval Method for IOMT

Rakshitha H R; Ananya F K; Akshaya Sai A; Meenakshi S; Wahida Banu

A Secure Multi-Modal Encrypted Retrieval Method for IOMT

Author(s)	Ms. Rakshitha H R, Ms. Ananya F K, Ms. Akshaya Sai A, Ms. Meenakshi S, Dr. Wahida Banu
Country	India
Abstract	The rapid development of the Internet of Medical Things (IoMT) has resulted in the generation of large amounts of healthcare information from medical devices, hospital systems, wearable sensors, and imaging technologies. This information includes medical records, diagnostic reports, images, and sensor readings, making secure and efficient retrieval increasingly important. Conventional retrieval techniques mainly depend on keywords and often focus on a single type of data, which limits their ability to understand the actual meaning of a medical query. At the same time, storing healthcare information on cloud platforms creates privacy concerns because sensitive patient information may be exposed to unauthorized parties. This literature review studies twelve approaches related to encrypted search, cloud security, semantic retrieval, multimodal processing, and IoMT data protection. The reviewed works demonstrate the use of searchable encryption, multi-keyword retrieval, artificial intelligence, deep learning, cross-modal learning, and secure indexing. Based on these studies, a secure multimodal retrieval framework is proposed that combines semantic feature extraction, multimodal feature fusion, encryption, and cloud-based retrieval. The proposed approach aims to improve the relevance of medical search results while maintaining the confidentiality of sensitive healthcare information.
Keywords	IoMT, Multimodal Retrieval, Semantic Feature Fusion, Encrypted Retrieval, Cloud Security, Artificial Intelligence, Healthcare Data Security.
Field	Engineering
Published In	Volume 8, Issue 4, July-August 2026
Published On	2026-08-16

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International Journal For Multidisciplinary Research

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

A Secure Multi-Modal Encrypted Retrieval Method for IOMT

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