Conference proceeding
Securing Analog Mixed-Signal Integrated Circuits Through Shared Dependencies
GLSVLSI '19 - PROCEEDINGS OF THE 2019 ON GREAT LAKES SYMPOSIUM ON VLSI, pp 483-488
01 Jan 2019
Abstract
The transition to a horizontal integrated circuit (IC) design flow has raised concerns regarding the security and protection of IC intellectual property (IP). Obfuscation of an IC has been explored as a potential methodology to protect IP in both the digital and analog domains in isolation. However, novel methods are required for analog mixed-signal circuits that both enhance the current disjoint implementations of analog and digital security measures and prevent an independent adversarial attack of each domain. This paper demonstrates the vulnerabilities of implementing disjointed obfuscation techniques to protect analog mixed-signal ICs. In addition, a novel methodology is developed to generate functional and behavioral dependencies between the analog and digital domains that results in an increase in the adversarial key search space. The dependencies between the analog and digital keys result in a 3x increase in the number of iterations required to complete the SAT attack. An analysis of best practices is also provided to aid in the implementation of security measures for analog mixed-signal circuits.
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Details
- Title
- Securing Analog Mixed-Signal Integrated Circuits Through Shared Dependencies
- Creators
- Kyle Juretus - Drexel UniversityVaibhav Venugopal Rao - Drexel UniversityIoannis Savidis - Drexel UniversityAssoc Comp Machinery
- Publication Details
- GLSVLSI '19 - PROCEEDINGS OF THE 2019 ON GREAT LAKES SYMPOSIUM ON VLSI, pp 483-488
- Series
- Proceedings - Great Lakes Symposium on VLSI
- Publisher
- Assoc Computing Machinery
- Number of pages
- 6
- Grant note
- 32 CFR 168a / Air Force Office of Scientific Research, National Defense Science and Engineering Graduate (NDSEG) Fellowship; United States Department of Defense; Air Force Office of Scientific Research (AFOSR) CNS-1648878; CNS-1751032 / National Science Foundation; National Science Foundation (NSF) Drexel Ventures Innovation Fund
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000474339800096
- Scopus ID
- 2-s2.0-85081637806
- Other Identifier
- 991019169621204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Theory & Methods