Stochastic Mixed-Signal Circuit Design for In-sensor Privacy : (Invited Paper)

The ubiquitous data acquisition and extensive data exchange of sensors pose severe security and privacy concerns for the end-users and the public. To enable real-time protection of raw data, it is demanding to facilitate privacy-preserving algorithms at data generation, or in-sensory privacy. Howeve...

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Veröffentlicht in:2022 IEEE/ACM International Conference On Computer Aided Design (ICCAD) S. 1 - 9
Hauptverfasser: Cao, Ningyuan, Liu, Jianbo, Cheng, Boyang, Chang, Muya
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: ACM 29.10.2022
Schlagworte:
Analytical models
compressed sensing
Computational modeling
Computer architecture
Data protection
internet-of-things
mixed-signal computation
Privacy
privacy-by-default
privacy-by-design
privacy-preserving computation
Semiconductor device modeling
Stochastic processes
ISSN:1558-2434
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:The ubiquitous data acquisition and extensive data exchange of sensors pose severe security and privacy concerns for the end-users and the public. To enable real-time protection of raw data, it is demanding to facilitate privacy-preserving algorithms at data generation, or in-sensory privacy. However, due to the severe sensor resource constraints and intensive computation/security cost, it remains an open question of how to enable data protection algorithms with efficient c ircuit techniques. To answer this question, this paper discusses the potential of a stochastic mixed-signal (SMS) circuit for ultra-low-power, small-foot-print data security. In particular, this paper discusses digitally-controlled-oscillators (DCO) and their advantages in (1) seamless analog interface, (2) stochastic computation efficiency, and (3) unified entropy generation over conventional digital circuit baselines. With DCO as an illustrative case, we target (1) SMS privacy-preserving architecture definition and systematic SMS analysis on its performance gains across various hardware/software configurations, and (2) revisit analog/mixed-signal voltage/transistor scaling in the context of entropy-based data protection.
ISSN:1558-2434
DOI:10.1145/3508352.3561099