Application of internet of things in healthcare domain

Almotairi, Khaled H.

doi:10.1007/s43995-022-00008-8

Cited by 16 publications

(6 citation statements)

References 65 publications

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“…Therefore, several ECPM hardware accelerator designs, including [6,[10][11][12][13][14][15][16], are tailored for optimizing area and throughput at the same time. Nevertheless, these accelerators lack discussion on the power consumption of their circuits, which is critical for various constrained applications such as radio-frequency identification (RFID) networks [25], wireless sensor networks (WSNs), and the Internet of things [26,27].…”

Section: Related Ecpm Hardware Accelerators and Limitationsmentioning

confidence: 99%

Throughput/Area-Efficient Accelerator of Elliptic Curve Point Multiplication over GF(2233) on FPGA

Rashid,

Sonbul,

Zia

et al. 2023

Electronics

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This paper presents a throughput/area-efficient hardware accelerator architecture for elliptic curve point multiplication (ECPM) computation over GF(2233). The throughput of the proposed accelerator design is optimized by reducing the total clock cycles using a bit-parallel Karatsuba modular multiplier. We employ two techniques to minimize the hardware resources: (i) a consolidated arithmetic unit where we combine a single modular adder, multiplier, and square block instead of having multiple modular operators, and (ii) an Itoh–Tsujii inversion algorithm by leveraging the existing hardware resources of the multiplier and square units for multiplicative inverse computation. An efficient finite-state-machine (FSM) controller is implemented to facilitate control functionalities. To evaluate and compare the results of the proposed accelerator architecture against state-of-the-art solutions, a figure-of-merit (FoM) metric in terms of throughput/area is defined. The implementation results after post-place-and-route simulation are reported for reconfigurable field-programmable gate array (FPGA) devices. Particular to Virtex-7 FPGA, the accelerator utilizes 3584 slices, needs 7208 clock cycles, operates on a maximum frequency of 350 MHz, computes one ECPM operation in 20.59 μs, and the calculated value of FoM is 13.54. Consequently, the results and comparisons reveal that our accelerator suits applications that demand throughput and area-optimized ECPM implementations.

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Section: Related Ecpm Hardware Accelerators and Limitationsmentioning

confidence: 99%

Throughput/Area-Efficient Accelerator of Elliptic Curve Point Multiplication over GF(2233) on FPGA

Rashid,

Sonbul,

Zia

et al. 2023

Electronics

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“…Realtime access to diagnosis and treatment has benefits for the healthcare industry as well. The usage of IoT in health care facilities and its future developments, with an emphasis on the management of healthcare using IoT is discussed [2]. It demonstrated how wearable sensors and the IoT make it possible for medical care to be provided anywhere.…”

Section: Related Workmentioning

confidence: 99%

“…1) Security Challenges: As more companies are adopting IoT, new security concerns will inevitably arise. These challenges might be related to the device's restrictions.The following are a few of these security challenges [2].…”

Section: Challenges In Iot-enabled Healthcarementioning

confidence: 99%

Survey of Big Data Analytics in IoT-Driven Healthcare Applications: A Comparative Approach

Shruti,

Malige

2022

Proceedings of the Eighth International Conference on Research in Intelligent Computing in Engineering

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Integrating the Internet of Things(IoT) with advanced big data analytics (BDA) is crucial for reducing healthcare expenses and identifying potential risks. IOT BDA has an effect on information gathering, storing, extracting, and utilizing in the healthcare sector. It offers several benefits across many medical organizations' disciplines and improves the healthcare services. This review critically summarizes the advantages and disadvantages of IoT and BDA when individually used. The necessity of integrating the IoT and BDA is explained in detail. The scope for future work is proposed based on the various research gaps identified in the literature. Applications of IoT, Big data analytics techniques, challenges of IoT enabled healthcare are also discussed.

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“…Compared to Binary Huff curves [16] and Hessian curves [17], Binary Edwards curves are not only faster and more secure, but also have a smaller key size and require less computational resources, making them ideal for constrained environments [6]. The potential use of these curves can be found in applications such as cloud computing [18], secure messaging [19], digital signatures [20], and internet of things [21][22][23], where high security, high throughput, and efficient resource utilization are critical. Overall, the adoption of Binary Edwards curves can significantly enhance the security of these applications while maintaining optimal performance.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach for Efficient and Secure Point Multiplication on Binary Edwards Curves

et al. 2023

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The focus of this article is to present a novel crypto-accelerator architecture for a resource-constrained embedded system that utilizes elliptic curve cryptography (ECC). The architecture is built around Binary Edwards curves (BEC) to provide resistance against simple power analysis (SPA) attacks. Furthermore, the proposed architecture incorporates several optimizations to achieve efficient hardware resource utilization for the point multiplication process over GF(2m). This includes the use of a Montgomery radix-2 multiplier and the projective coordinate hybrid algorithm (combination of Montgomery ladder and double and add algorithm) for scalar multiplication. A two-stage pipelined architecture is employed to enhance throughput. The design is modeled in Verilog HDL and verified using Vivado and ISE design suites from Xilinx. The obtained results demonstrate that the proposed BEC accelerator offers significant performance improvements compared to existing solutions. The obtained throughput over area ratio for GF(2233) on Virtex-4, Virtex-5, Virtex-6, and Virtex-7 Xilinx FPGAs are 9.43, 14.39, 26.14, and 28.79, respectively. The computation time required for a single point multiplication operation on the Virtex-7 device is 19.61 µs. These findings indicate that the proposed architecture has the potential to address the challenges posed by resource-constrained embedded systems that require high throughput and efficient use of available resources.

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Application of internet of things in healthcare domain

Cited by 16 publications

References 65 publications

Throughput/Area-Efficient Accelerator of Elliptic Curve Point Multiplication over GF(2233) on FPGA

Throughput/Area-Efficient Accelerator of Elliptic Curve Point Multiplication over GF(2233) on FPGA

Survey of Big Data Analytics in IoT-Driven Healthcare Applications: A Comparative Approach

A Hybrid Approach for Efficient and Secure Point Multiplication on Binary Edwards Curves

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