Enabling energy efficient image encryption using approximate memoization

Seongmin Hong, Jaehyung Im, S. M.Mazharul Islam, Jaehee You, Yongjun Park

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Security has become one of the most important requirements for various devices for multi-sensor based embedded systems. The AES (Advanced Encryption Standard) algorithm is widely used for security, however, it requires high computing power. In order to reduce the CPU power for the data encryption of images, we propose a new image encryption module using hardware memoization, which can reuse previously generated data. However, as image pixel data are slightly different each other, the reuse rate of the simple memoization system is low. Therefore, we further apply an approximate concept to the memoization system to have a higher reuse rate by sacrificing quality. With the novel technique, the throughput can be highly improved by 23.98% with 14.88% energy savings with image quality loss minimization.

Original languageEnglish
Pages (from-to)465-472
Number of pages8
JournalJournal of Semiconductor Technology and Science
Volume17
Issue number3
DOIs
Publication statusPublished - 2017

Bibliographical note

Funding Information:
This work was supported in part by the National Research Foundation of Korea (NRF) grants funded by the Korea government (MSIP) (No. NRF-2015R1C1A1 A01053844 and No.NRF-2015K2A1A2070541). This work (Grants No. C0409630) was also supported in part by Business for Cooperative R&D between Industry, Academy, and Research Institute funded Korea Small and Medium Business Administration in 2016.

Publisher Copyright:
© 2017, Institute of Electronics Engineers of Korea. All rights reserved.

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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