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EviSlice: Evidence-Driven and Clinically Aware Zero-Touch Security Slicing for 6G-Enabled Healthcare IoT

  • Pronaya Bhattacharya
  • , Ankitha Bhavana Gaddam
  • , Yuchao Xia
  • , Ruijia Zhang
  • , Ahmed Farouk
  • , Thippa Reddy Gadekallu*
  • , Song Dalei*
  • *Corresponding author for this work
  • Department of Computer Science and Engineering
  • Amity University, Kolkata
  • Trellix
  • Fuzhou University of International Studies and Trade
  • Department of Computer Science
  • Xinzhou Teachers University
  • Hurghada University
  • Division of Research and Development
  • Lovely Professional University
  • Zhejiang Agriculture and Forestry University

Research output: Contribution to journal › Article › peer-review

Abstract

Future 6G Healthcare Internet-of-Things (H-IoT) networks must protect clinical services that differ widely in urgency, reliability, and disruption tolerance. Although network slicing and zero-touch management offer a strong foundation for automated healthcare traffic control, existing approaches remain largely infrastructure-centric and often overlook evidence trustworthiness, service criticality, and the safety of automated security actions. This article presents EviSlice, an evidence-driven and clinically aware zero-touch security slicing framework for 6G-enabled H-IoT. EviSlice integrates multi-source evidence correlation, clinical criticality profiling, trust and provenance evaluation, explainable decision logic, and closed-loop slice-security orchestration. Its relevance is demonstrated through a Smart Hospital-Ambulance-Home Monitoring Continuum case study and compared with Static secure slice provisioning, KPI-ZSM adaptation, and security SLA (SSLA)-based closed-loop slicing. The results show that EviSlice improves clinical continuity, reduces false-positive interruptions, and enables faster, context-sensitive security mitigation while supporting practical deployment pathways.

Original languageEnglish
JournalIEEE Internet of Things Magazine
Early online dateSept 2026
DOIs
Publication statusPublished - 17 Sept 2026
Externally publishedYes

Keywords

  • 6G
  • evidence-driven orchestration
  • explainable automation
  • healthcare internet-of-things
  • network slicing
  • security slicing
  • trust
  • zero touch networks and service management

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