Low-Cost Security of IoT Sensor Nodes with Rakeness-Based Compressed Sensing: Statistical and Known-Plaintext Attacks
| Autor: | Mauro Mangia, Riccardo Rovatti, Fabio Pareschi, Gianluca Setti |
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| Přispěvatelé: | Mangia, Mauro, Pareschi, Fabio, Rovatti, Riccardo, Setti, Gianluca |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
internet of think
Risk Computer science Computer Networks and Communications Real-time computing 0211 other engineering and technologies 02 engineering and technology Data_CODINGANDINFORMATIONTHEORY Encryption Computer security computer.software_genre NO Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Safety Risk Reliability and Quality 021110 strategic defence & security studies rakene internet of thinks business.industry chiphertext-only attack Compressed sensing knowplaintext attacks rakeness 020206 networking & telecommunications knowplaintext attack Known-plaintext attack Reliability and Quality Safety Internet of Things business computer |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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