Skip to content
Open access

Performance Evaluation of a Lightweight Threshold-Based Distributed Encryption Architecture for IoT Data Offloading

Jul 2026 · ACM Transactions on Modeling and Performance Evaluation of Computing Systems · Vol 11, pp. 1-26 · 0 citations · 22 references

TL;DR

This work proposes a lightweight, threshold-based distributed encryption scheme combining CP-ABE with delegated symmetric encryption across multiple assisting edge servers that preserves data confidentiality and fine-grained access control while significantly reducing on-device computational overhead.

Abstract

In mobile cloud computing (MCC), ensuring secure and energy-efficient data offloading remains a key challenge for constrained IoT devices. We propose a lightweight, threshold-based distributed encryption scheme combining CP-ABE with delegated symmetric encryption across multiple assisting edge servers. This architecture preserves data confidentiality and fine-grained access control while significantly reducing on-device computational overhead. We experimentally evaluate the proposed scheme using realistic parameters derived from a LoRaWAN-based sensor, considering Data-Owner-centric metrics including energy consumption, end-to-end encryption time, bandwidth overhead, throughput, and scalability. Results show energy savings exceeding 98% at the sensor side, at the cost of increased latency due to coordination and communication overhead. The proposed scheme enables scalable, fault-tolerant, and secure data sharing for IoT applications where real-time constraints are relaxed.

Read PDF

Similar papers

Open access Sep 2026

A Performance-Security Balanced Framework for Lightweight Cryptography Incorporating Hardware Acceleration and Adaptive Key Exchange in IoT Environments

The rapid growth of the Internet of Things (IoT) has intensified the demand for lightweight cryptography that can secure billions of resource-constrained devices without prohibitive costs in energy or latency. This paper proposes a performance–security balanced framework that specifies (i) an adaptive key exchange prot...

Shalini B, Jayaganesh J · 0 citations
Open access 2026

Adaptive Energy-Security Framework for IoT Devices Using Hybrid SPECK and Kyber Encryption

With the fast growth of the Internet of Things (IoT), the problem of secure and energy-efficient data exchange in resource-constrained settings has become even more challenging. The traditional cryptographic systems (RSA and ECC) are resource-consuming and susceptible to quantum attacks, and lightweight cyphers are not...

Vegesna Siva Rama Krishnam Raju, V. Pulipati · 0 citations
Open access Aug 2026

Fidco: A Fog-Integrated Distributed Cloud Optimization Framework for Secure And High-Performance Data Management

The proposed research introduces an innovative framework dubbed Fog-Integrated Distributed Cloud Optimization that makes use of distributed servers from the local fog as a supplementary means to provide increased performance and enhanced security.

K. Sindhuja, D. Benitta · 0 citations
Open access Jul 2026

An Intelligent Edge Computing Framework for Secure, Low-Latency, and Energy-Efficient Smart Devices

This paper presented an Intelligent Edge Computing Framework for Secure, Low-Latency, and Energy-Efficient Smart Devices that integrates edge intelligence, adaptive task scheduling, resource-aware computation, secure communication, and cloud-assisted services to address the limitations of conventional cloud-centric arc...

Kolipaka Vinay, Valusa Venkat Sai Kumar, D. A. Kumar · 0 citations
Open access Sep 2026

An Adaptive Hybrid Cryptographic Framework for Secure and Energy-Efficient IoT Systems: Architecture and Evaluation

The Internet of Things (IoT) has become a fundamental component of modern cyber–physical systems; however, securing IoT deployments remains challenging due to strict constraints on computation, memory, and energy resources. Conventional cryptographic mechanisms provide strong security guarantees but often introduce exc...

Ibrahim Haddadi · 0 citations
Open access Sep 2026

Lightweight confidentiality framework for TinyML-enabled IoT edge communication

Lightweight security mechanisms are essential for Internet of Things (IoT) edge environments, where devices operate under strict constraints in computation, memory, and energy. The emergence of TinyML-enabled edge intelligence introduces new communication security requirements, particularly for protecting compact infer...

Kurunandan Jain, Prabhakar Krishnan, S. N et al. · 0 citations

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