Low-Cost Security of IoT Sensor Nodes with Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks

Mauro Mangia, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Compressed sensing has been proposed to both yield low-cost compression and low-cost encryption. This can be very useful in the design of sensor nodes with a limited resource budget whose acquisition must be kept as private as possible. We here analyze the susceptibility of compressed sensing stages that are optimized to maximize compression performance by rakeness-based design to ciphertext-only and known-plaintext attacks. A tradeoff between compression and security is highlighted. Notwithstanding such a tradeoff, rakeness-based compressed sensing exhibits a noteworthy robustness to classical attacks.
Original languageEnglish (US)
Pages (from-to)327-340
Number of pages14
JournalIEEE Transactions on Information Forensics and Security
Volume13
Issue number2
DOIs
StatePublished - Feb 1 2018
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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