TKS-NGSF: Traditional Knowledge System-Enhanced Neural-Guided Strategy Fusion for Blockchain-Enabled Searchable Encryption in Ayurveda-Informed IIoT Healthcare

DOI

10.2991/978-94-6239-821-4_14How to use a DOI?

Keywords

Traditional Knowledge Systems; searchable encryption; Ayurveda; IIoT healthcare; blockchain; federated learning; post-quantum cryptography; neural strategy selection; IMPPAT database

Abstract

Indian Traditional Knowledge Systems (TKS), especially Ayurveda, create a practical path toward culturally grounded and individualized care when linked with contemporary digital-health platforms. Placing Ayurvedic material online, however, raises acute confidentiality, safety, and operational issues in networked clinical settings. We introduce TKS-NGSF, an architecture that joins Indian TKS with blockchain-backed searchable encryption and a neural policy for choosing search strategies in the Industrial Internet of Medical Things (IIoT). The design enlarges four-strategy Neural-Guided Strategy Fusion (NGSF) by adding strategy S5 (TKS-Enhanced Ayurvedic Knowledge Retrieval), which is tailored to traditional-medicine lookups. IMPPAT (Indian Medicinal Plants, Phytochemistry And Therapeutics) is wired into the pipeline; federated learning shields data that never leave each hospital; and post-quantum plus attribute-based cryptography harden access. In contrast to earlier simulation-only reports, detection figures are obtained on five corpora that mix conventional and traditional medical material: Synthetic IoT, MIMIC-III, CICIoMT2024 IoMT attack traces, CERT v6.2 insider-threat logs, and IMPPAT-TKS Ayurvedic phytochemical records. F1 lies between 0.99 and 1.00 on every corpus, including 1.00 for Ayurvedic (TKS) lookups. Median search delay stays under 175 ms, blockchain gas falls 41.1% versus a post-quantum baseline, and neural selection adds only 8.4 ms. The outcome supports a learned, culture-aware selector for confidential, auditable, and quantum-resistant sharing of clinical data.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Patel Kalpeshkumar Laxmanbhai
AU  - Ruchika Dungarani
AU  - HardikKumar Bakorbhai Prajapati
AU  - Patel Maulikkumar Nareshbhai
AU  - Patel Dharmikkumar Himmatbhai
PY  - 2026
DA  - 2026/10/31
TI  - TKS-NGSF: Traditional Knowledge System-Enhanced Neural-Guided Strategy Fusion for Blockchain-Enabled Searchable Encryption in Ayurveda-Informed IIoT Healthcare
BT  - Proceedings of the International Conference on Information Systems Design And Intelligent Applications (ICISDA 2026)
PB  - Atlantis Press
SP  - 198
EP  - 219
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-821-4_14
DO  - 10.2991/978-94-6239-821-4_14
ID  - Laxmanbhai2026
ER  -