Designing a CHAM Block Cipher on Low-End Microcontrollers for Internet of Things

Kwon, Hyeokdong; An, SangWoo; Kim, YoungBeom; Kim, Hyunji; Choi, Sung‐Ja; Park, Jaehoon; Kim, Hyun-Jun; Seo, Seog Chung; Seo, Hwajeong

doi:10.3390/electronics9091548

Cited by 9 publications

(3 citation statements)

References 16 publications

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“…Therefore, it is the key to form a strong emergency organization network system to clarify responsibilities, implement responsibilities, and promote coordination and cooperation. For accidents that occur, medical malpractices should be classified and graded first [ 23 , 24 ] and then implemented by emergency agencies of corresponding levels. When the accident disaster situation expands, immediately report to the emergency agencies of the next level to be responsible for the implementation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.

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Section: Introductionmentioning

confidence: 99%

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Feng

Zhong-yu

2021

Journal of Healthcare Engineering

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“…This implementation utilized a pre-calculation technique with a counter mode of operation. In [9], parallel implementations were presented.…”

Section: E Related Workmentioning

confidence: 99%

Optimized Implementation of SM4 on AVR Microcontrollers, RISC-V Processors, and ARM Processors

et al. 2022

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At 2003, the SM4 block cipher was introduced that is a Chinese domestic cryptographic. It is mandated in the Chinese National Standard for Wireless LAN Wired Authentication and Privacy Infrastructure (WAPI), because the algorithm was developed for use in wireless sensor networks to provide safety network environment. The SM4 block cipher uses a 128-bit block size and a 32-bit round key. It consists of 32 rounds and one reverse translation R. In this paper, we present the optimized implementation of the SM4 block cipher on 8-bit AVR microcontrollers, which are widely used in wireless sensor devices; the optimized implementation of the SM4 block cipher on 32-bit RISC-V processors, which are opensource-based computer architectures, and the optimized implementation of SM4 on 64-bit ARM processors with parallel computation, which are widely used in smartphones and tablets. In the AVR microcontroller, three versions are implemented for various purposes, including speed-optimization, memory-optimization, and code size-optimization. As a result, the speed-optimization, memory-optimization, and code sizeoptimization versions achieved 205.2 cycles per byte, 213.3 cycles per byte, and 207.4 cycles per byte, respectively. This is faster than the reference implementation written in C language (1670.7 cycles per byte). The implementation on 32-bit RISC-V processors achieved 128.8 cycles per byte. This is faster than the reference implementation written in C language (345.7 cycles per byte). The implementation on 64-bit ARM processors achieved 8.62 cycles per byte. This is faster than the reference implementation written in C language (120.07 cycles per byte).

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“…LUT#1 3 Optimization of Counter Mode of Operation for 16-bit Architecture: The counter mode of operation can be skipped through pre-computation with constant variables [2]. Previous works have been devoted to improve the performance of counter mode through the precomputation [2,[20][21][22][23][24]. The input of counter mode of operation consists of counter (32-bit) and constant nonce (96-bit).…”

Section: Algorithmmentioning

confidence: 99%

Compact Implementation of ARIA on 16-Bit MSP430 and 32-Bit ARM Cortex-M3 Microcontrollers

et al. 2021

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In this paper, we propose the first ARIA block cipher on both MSP430 and Advanced RISC Machines (ARM) microcontrollers. To achieve the optimized ARIA implementation on target embedded processors, core operations of ARIA, such as substitute and diffusion layers, are carefully re-designed for both MSP430 (Texas Instruments, Dallas, TX, USA) and ARM Cortex-M3 microcontrollers (STMicroelectronics, Geneva, Switzerland). In particular, two bytes of input data in ARIA block cipher are concatenated to re-construct the 16-bit wise word. The 16-bit word-wise operation is executed at once with the 16-bit instruction to improve the performance for the 16-bit MSP430 microcontroller. This approach also optimizes the number of required registers, memory accesses, and operations to half numbers rather than 8-bit word wise implementations. For the ARM Cortex-M3 microcontroller, the 8×32 look-up table based ARIA block cipher implementation is further optimized with the novel memory access. The memory access is finely scheduled to fully utilize the 3-stage pipeline architecture of ARM Cortex-M3 microcontrollers. Furthermore, the counter (CTR) mode of operation is more optimized through pre-computation techniques than the electronic code book (ECB) mode of operation. Finally, proposed ARIA implementations on both low-end target microcontrollers (MSP430 and ARM Cortex-M3) achieved (209 and 96 for 128-bit security level, respectively), (241 and 111 for 192-bit security level, respectively), and (274 and 126 for 256-bit security level, respectively). Compared with previous works, the running timing on low-end target microcontrollers (MSP430 and ARM Cortex-M3) is improved by (92.20% and 10.09% for 128-bit security level, respectively), (92.26% and 10.87% for 192-bit security level, respectively), and (92.28% and 10.62% for 256-bit security level, respectively). The proposed ARIA–CTR implementation improved the performance by 6.6% and 4.0% compared to the proposed ARIA–ECB implementations for MSP430 and ARM Cortex-M3 microcontrollers, respectively.

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Designing a CHAM Block Cipher on Low-End Microcontrollers for Internet of Things

Cited by 9 publications

References 16 publications

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things

Optimized Implementation of SM4 on AVR Microcontrollers, RISC-V Processors, and ARM Processors

Compact Implementation of ARIA on 16-Bit MSP430 and 32-Bit ARM Cortex-M3 Microcontrollers

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