Effective hardware architectures for LED and PRESENT ciphers for resource-constrained applications

被引:0
|
作者
Modi P. [1 ]
Singh P. [1 ]
Acharya B. [1 ]
机构
[1] Department of Electronics and Communication Engineering, National Institute of Technology Raipur, Raipur
关键词
Block cipher; CPS; Cyber physical system; Field programmable gate array; FPGA; Internet-of-things; IoT; LED; PRESENT;
D O I
10.1504/IJHPSA.2021.119151
中图分类号
学科分类号
摘要
Existing cyber physical systems (CPS) and internet-of-things (IoT) services depend largely on the widespread implementation of tiny smart devices for tracking, storing, monitoring, and networking applications. All IoT-enabled devices, including consumer smart devices, need secure communication mechanisms. In this paper, three different architectures are proposed based on LED and PRESENT lightweight block ciphers targeting at resource-constrained applications. This paper discusses two specific hardware architectures for the LED cipher. The first architecture introduces a round-based pipelined design in which pipeline registers are inserted in between round operations. Whereas the second is a serialised architecture that runs on a single cell per clock cycle. These proposed designs offer very efficient area-throughput tradeoff. In addition, we proposed a 32-bits datapath optimisation design to achieve high-performance, low-power, and energy-efficient hardware of PRESENT cipher encryption system. Various field programmable gate array (FPGA) platforms are used for hardware implementation and results are evaluated and compared with other related works. © 2021 Inderscience Enterprises Ltd.
引用
收藏
页码:89 / 104
页数:15
相关论文
共 50 条
  • [31] Asymptotic Performance Analysis and Optimization of Resource-Constrained Multi-Core Architectures
    Lee, Jeong-Gun
    Jung, Eungu
    Lee, Dong-Wook
    2008 INTERNATIONAL CONFERENCE ON MICROELECTRONICS, 2008, : 462 - +
  • [32] Automatic identification and hardware implementation of a resource-constrained power model for embedded systems
    Cremona, Luca
    Fornaciari, William
    Zoni, Davide
    Sustainable Computing: Informatics and Systems, 2021, 29
  • [33] ASSURE: A Hardware-Based Security Protocol for Resource-Constrained IoT Systems
    Yildiran Yilmaz
    Leonardo Aniello
    Basel Halak
    Journal of Hardware and Systems Security, 2021, 5 (1) : 1 - 18
  • [34] Automatic identification and hardware implementation of a resource-constrained power model for embedded systems
    Cremona, Luca
    Fornaciari, William
    Zoni, Davide
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2021, 29
  • [35] Hardware-software codesign of resource-constrained real-time systems
    Yoo, S
    Jeon, J
    Hong, SS
    Choi, K
    THIRD INTERNATIONAL WORKSHOP ON REAL-TIME COMPUTING SYSTEMS AND APPLICATIONS, PROCEEDINGS, 1996, : 286 - 292
  • [36] A novel Approach for sEMG Gesture Recognition using Resource-constrained Hardware Platforms
    Micheletto, Matias J.
    Chesnevar, Carlos, I
    Santos, Rodrigo M.
    COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2022, 19 (03) : 1199 - 1212
  • [37] Efficient low-area, high-frequency hardware implementations of shadow lightweight block ciphers for resource-constrained IoT devices and sensor networks
    Krishna Pranav G.
    Mishra Z.
    Acharya B.
    Patnaik B.
    International Journal of High Performance Systems Architecture, 2023, 11 (04) : 216 - 224
  • [38] Energy-Efficient Classification for Resource-Constrained Biomedical Applications
    Shoaran, Mahsa
    Haghi, Benyamin Allahgholizadeh
    Taghavi, Milad
    Farivar, Masoud
    Emami, Azita
    IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, 2018, 8 (04) : 693 - 707
  • [39] On effective off loading services for resource-constrained mobile devices running heavier mobile Internet applications
    Yang, Kun
    Ou, Shumao
    Chen, Hsiao-Hwa
    IEEE COMMUNICATIONS MAGAZINE, 2008, 46 (01) : 56 - 63
  • [40] Survey of Progress in Deep Neural Networks for Resource-Constrained Applications
    Stuart, Morgan
    Manic, Milos
    IECON 2017 - 43RD ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2017, : 7259 - 7266