Compression and Encryption of Search Survey Gamma Spectra using Compressive Sensing
Alexander Heifetz, Sasan Bakhtiari, Apostolos C. Raptis
TL;DR
This paper explores using Compressive Sensing to efficiently compress and encrypt gamma spectra data from wide-area search surveys, demonstrating secure encryption and nearly lossless recovery through numerical experiments.
Contribution
It introduces a novel application of Compressive Sensing for simultaneous compression and encryption of gamma spectra in search surveys, showing promising results.
Findings
Secure encryption of gamma spectra achieved
Nearly lossless data recovery demonstrated
Effective compression in wide-area search applications
Abstract
We have investigated the application of Compressive Sensing (CS) computational method to simultaneous compression and encryption of gamma spectra measured with NaI(Tl) detector during wide area search survey applications. Our numerical experiments have demonstrated secure encryption and nearly lossless recovery of gamma spectra coded and decoded with CS routines.
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Taxonomy
TopicsSparse and Compressive Sensing Techniques · Wireless Communication Security Techniques · Microwave Imaging and Scattering Analysis