Name
Abstract | ||
|---|---|---|
There are many interesting advances in approximate computing recently targeting the energy efficiency in system design and execution. The basic idea is to trade computation accuracy for power and energy during all phases of the computation, from data to algorithm and hardware implementation. In this paper, we explore how to utilize approximate computing for security based information hiding. More specifically, we will demonstrate with examples the potential of embedding information in approximate hardware and approximate data, as well as during approximate computation. We analyze both the security vulnerabilities that this may cause and the potential security applications enabled by such information hiding. We argue that information could be hidden behind approximate computation without compromising the computation accuracy or energy efficiency.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3299874.3319456 | Proceedings of the 2019 on Great Lakes Symposium on VLSI |
Keywords | Field | DocType |
approximate computing, authentication, information hiding, machine learning, security | Embedding,Authentication,Computer science,Efficient energy use,Information hiding,Systems design,Real-time computing,Computer engineering,Approximate computing,Computation | Conference |
ISSN | ISBN | Citations |
1066-1395 | 978-1-4503-6252-8 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |