Abstract
Design of ultralightweight but secure encryption engine is a key challenge for Internet-of-Things edge devices. This paper explores the system level design space for an ultralow power image sensor node for secure communication and proposes an optimized datapath architecture for 128-bit SIMON (SIMON128), a lightweight block cipher, for minimal performance, power, and area overheads with increased level of side-channel security. Various datapath architectures for SIMON are explored for simultaneously increasing energy-efficiency and resistance to power-based side-channel analysis (PSCA) attacks. Alternative datapath architectures are implemented on ASIC (15 nm CMOS) and field programmable gate array (FPGA) (Spartan-6, 45 nm) to perform power, performance, and area analysis. We show that, although a bitserial datapath minimizes area and power, a round unrolled datapath provides 80{\times } higher energy-efficiency and 143{\times } higher performance, compared to the baseline bitserial design. Moreover, the PSCA measurements performed using Sakura-G board with Spartan-6 FPGA, demonstrate that a 6-round unrolled datapath improves minimum-traces-to-disclosure for correlation power analysis (CPA) by at least 384{\times } over baseline bitserial design with no successful CPA even with 500 000 measurements. Finally, application to the image-sensor node demonstrates that optimized unrolled SIMON128 can provide equivalent performance to AES128 at lower area, higher energy efficiency, and improved side channel security.
| Original language | English |
|---|---|
| Article number | 8423186 |
| Pages (from-to) | 421-434 |
| Number of pages | 14 |
| Journal | IEEE Internet of Things Journal |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| State | Published - Feb 2019 |
| Externally published | Yes |
Keywords
- Energy efficiency
- image sensor node
- Internet of Things (IoT)
- lightweight cryptography
- round unrolling
- side channel analysis attacks
- SIMON