Energy Concealment based Compressive Sensing Encryption for Perfect Secrecy for IoT

TL;DR

This paper proposes a practical, energy concealment-based compressive sensing encryption scheme for IoT devices that achieves perfect secrecy without needing an additional secure channel, using approximate Gaussian matrices generated efficiently.

Contribution

It introduces a feasible implementation of perfect secrecy in resource-constrained IoT devices by removing the secure channel requirement and using linear feedback shift registers for matrix generation.

Findings

The scheme achieves perfect secrecy in IoT environments.

Implementation is feasible without additional complexity.

Security is validated and compared favorably with existing methods.

Abstract

Recent study has shown that compressive sensing (CS) based computationally secure scheme using Gaussian or Binomial sensing matrix in resource-constrained IoT devices is vulnerable to ciphertext-only attack. Although the CS-based perfectly secure scheme has no such vulnerabilities, the practical realization of the perfectly secure scheme is challenging, because it requires an additional secure channel to transmit the measurement norm. In this paper, we devise a practical realization of a perfectly secure scheme by concealing energy in which the requirement of an additional secure channel is removed. Since the generation of Gaussian sensing matrices is not feasible in resource-constrained IoT devices, approximate Gaussian sensing matrices are generated using linear feedback shift registers. We also demonstrate the implementation feasibility of the proposed perfectly secure scheme in practice without additional complexity. Furthermore, the security analysis of the proposed scheme is performed and compared with the state-of-the-art compressive sensing based energy obfuscation scheme.