Design and Prototype of a Unified Framework for Error-robust Compression and Encryption in IoT

TL;DR

This paper introduces ENCRUST, a unified framework combining compression, encryption, and error recovery for IoT devices, demonstrating improved energy efficiency and security over existing solutions.

Contribution

The paper presents ENCRUST, a novel prototype that integrates compression, secrecy, and error resilience specifically designed for resource-constrained IoT devices.

Findings

ENCRUST outperforms existing solutions in energy consumption.

L-ENCRUST offers a lighter alternative with comparable security.

Both schemes show improved memory and encryption efficiency.

Abstract

The Internet of Things (IoT) relies on resource-constrained devices for data acquisition, but the vast amount of data generated and security concerns present challenges for efficient data handling and confidentiality. Conventional techniques for data compression and secrecy often lack energy efficiency for these devices. Compressive sensing has the potential to compress data and maintain secrecy, but many solutions do not address the issue of packet loss or errors caused by unreliable wireless channels. To address these issues, we have developed the ENCRUST scheme, which combines compression, secrecy, and error recovery. In this paper, we present a prototype of ENCRUST that uses energy-efficient operations, as well as a lighter variant called L-ENCRUST. We also perform security analysis and compare the performance of ENCRUST and L-ENCRUST with a state-of-the-art solution in terms of memory, encryption time, and energy consumption on a resource-constrained TelosB mote. Our results show that both ENCRUST and L-ENCRUST outperform the state-of-the-art solution in these metrics.