Skip to content
Open access

A Conceptual Reference Architecture for Robust, Leakage-Resilient and Verifiable Access Control in Secure IoT Outsourcing

Aug 2026 · Italian National Conference on Sensors · Vol 26, pp. 4878 · 0 citations · 32 references
Medicine

TL;DR

A conceptual reference architecture that systematizes how a set of existing, standardized primitives can be composed into a single access-control framework for IoT outsourcing, and it makes the resulting design precise enough to reason about.

Abstract

Outsourcing Internet-of-Things (IoT) data and computation to cloud and fog infrastructure exposes both the data and the access-control process to integrity, confidentiality, and privacy risks. Attribute-based encryption (ABE) provides fine-grained access control but, as deployed today, suffers from single-authority bottlenecks, expensive policy updates, weak auditability, and exposure to secret-key leakage, classical primitives are additionally threatened by future quantum adversaries. This paper does not propose a new cryptographic scheme. Instead, it contributes a conceptual reference architecture that systematizes how a set of existing, standardized primitives can be composed into a single access-control framework for IoT outsourcing, and it makes the resulting design precise enough to reason about. Concretely, we (i) define a system model and a threat model covering passive, active, colluding, bounded-leakage, and harvest-now-decrypt-later quantum adversaries; (ii) instantiate each layer with a named construction decentralized multi-authority ABE, attribute-based proxy re-encryption for policy updates, a bounded leakage resilient key model, ASCON lightweight AEAD, and ML-KEM/ML-DSA post-quantum primitives, together with a permissioned, on-chain digest/off-chain payload logging layer; (iii) specify the end-to-end data flow and module interfaces; and (iv) give a goal-by-goal security rationale and an analytical evaluation based only on standardized parameter sizes and asymptotic complexity. We are explicit about what is inherited from prior work, what remains to be proven for the composed system, and that a measured prototype evaluation remains future work. The intended value of this paper is to provide a clear, composable, and honestly scoped design that subsequent implementation studies can build upon.

Read PDF

Similar papers

Open access Sep 2026

Zero-trust IoT security using homomorphic encryption, blockchain, and machine learning

The growing deployment of internet of things (IoT) devices across healthcare, manufacturing, and smart infrastructure has introduced serious security vulnerabilities that can no longer be ignored. Traditional perimeter-based security models have proven inadequate for decentralized IoT environments, especially given tha...

K. Titi · 0 citations
Open access 2026

Post-Quantum and Federated IoT Security: Challenges, Architecture, and Hardware-Executed Evaluation

The convergence of quantum computing and the scale of Internet of Things (IoT) deployments creates a compounded security problem: classical public-key cryptography securing today’s IoT traffic is vulnerable to harvest-now, decrypt-later attacks, while the constrained hardware typical of IoT devices limits the security...

Dina Al-Sadi, L. Tawalbeh · 0 citations
Review Open access Aug 2026

A Survey on Privacy-Preserving Techniques for Cloud Data Processing Using Homomorphic Encryption and Federated Learning

This paper presents a structured review of privacy-preserving data processing techniques for cloud environments built on HE and FL, individually and in hybrid combination, and identifies promising directions for future research.

Shivendra Shukla, C. S. Gautam, Divyansh Tiwari · 0 citations
Open access Aug 2026

Privacy-Preserving and Quantum-Resilient Blockchain Infrastructures for MuReQua Federated Micro Data Centers

This paper introduces Data Communities as a novel paradigm for privacy-preserving, blockchain-enabled cooperative digital infrastructures, formalized within the Cooperative Digital Infrastructure (CDI) framework and formalizes privacy guarantees through an adversarial model encompassing classical, quantum, insider, and...

Gerardo Iovane · 0 citations
Open access Aug 2026

PRIVACY-PRESERVING SECURE FILE SHARING USING QUANTUM CRYPTOGRAPHY, BLOCKCHAIN, AND ZERO-KNOWLEDGE AUTHENTICATION

This research introduces a novel Unified Quantum-Resilient Blockchain-Zero Knowledge Proofs Privacy Authentication Framework (QBC-ZKPAF), which provides strong security and privacy solutions for Internet of Things networks by adopting multi-factor authentication and decentralizing identity management.

Uzma Shereen, Lubna Nausheen · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.