A LOW-AREA HARDWARE REALIZATION OF 2-SHARES THRESHOLD IMPLEMENTATION AES FOR IOT BIOSENSOR DEVICE

Yi Sun, Pao Ying Cheng, Paul C.P. Chao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A novel 2-shares Threshold Implementation Advanced Encryption Standard (TI-AES) is proposed to secure sensitive data collected by portable Biosensor Devices. These devices transmit data such as blood pressure, blood oxygen, and heartbeat directly to the Internet of Things. To protect personal information, symmetric encryption is used. However, the lightweight symmetric encryption used by IoT edge devices to enhance transmission efficiency and reduce device size makes them vulnerable to side-channel analysis (SCA), which poses a potential threat to data security. Our proposal incorporates provable security against Single Power Analysis (SPA) and first-order differential power analysis (DPA) with uniform and independent input shares in the s-box. Our proposed incorporates additional randomness to improve security. The resulting power trace resistance with 116-bit random number is 50 times that of unprotected AES. We minimize the area and the required number of random numbers while maintaining a high level of security comparable to other masking schemes. Furthermore, we implement and verify our proposed scheme on the Xilinx Artix-7 FPGA platform. Proposed 2-shares TI-AES successfully reduces the operation cycle time by three-quarters to 100 clock cycles with 100M Hz frequency compared to all other related best countermeasure works on TI-AES. Additionally, the hardware requirements are reduced by 34.3% with 8.3 kilo-gate equivalent (kGE), greatly reducing the cost of IoT devices while maintaining favorable processing speed and security.

Original languageEnglish
Title of host publicationProceedings of the ASME 2023 32nd Conference on Information Storage and Processing Systems, ISPS 2023
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791887219
DOIs
StatePublished - 2023
EventASME 2023 32nd Conference on Information Storage and Processing Systems, ISPS 2023 - Milpitas, United States
Duration: 28 Aug 202329 Aug 2023

Publication series

NameProceedings of the ASME 2023 32nd Conference on Information Storage and Processing Systems, ISPS 2023

Conference

ConferenceASME 2023 32nd Conference on Information Storage and Processing Systems, ISPS 2023
Country/TerritoryUnited States
CityMilpitas
Period28/08/2329/08/23

Keywords

  • AES
  • DPA
  • IoT
  • SCA
  • SPA
  • TI-AES

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