RISC32-LP: Low-Power FPGA-Based IoT Sensor Nodes With Energy Reduction Program Analyzer

Tan, Beng-Liong; Mok, Kai-Ming; Chang, Jing-Jing; Lee, Wai-Kong; Hwang, Seong Oun

doi:10.1109/jiot.2021.3103035

Cited by 9 publications

(2 citation statements)

References 20 publications

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“…High performance and low power: Power-constrained IoT edge devices typically have limited resources, such as low processing power, limited memory, and low energy storage. To perform the hash function of IoT data in these devices, a low-power cryptographic hash processor is essential [25]. However, the cryptographic hash processor must not only consume less power but also have enough computational capacity to participate in maintaining the security of blockchain networks, known as blockchain mining.…”

Section: Importance Of Flexible High-performance and Low-power Crypto...mentioning

confidence: 99%

Flexible and Energy-Efficient Crypto-Processor for Arbitrary Input Length Processing in Blockchain-Based IoT Applications

LE,

PHAM,

TRAN

et al. 2024

IEICE Trans. Fundamentals

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Blockchain-based Internet of Things (IoT) applications require flexible, fast, and low-power hashing hardware to ensure IoT data integrity and maintain blockchain network confidentiality. However, existing hashing hardware poses challenges in achieving high performance and low power and limits flexibility to compute multiple hash functions with different message lengths. This paper introduces the flexible and energyefficient crypto-processor (FECP) to achieve high flexibility, high speed, and low power with high hardware efficiency for blockchain-based IoT applications. To achieve these goals, three new techniques are proposed, namely the crypto arithmetic logic unit (Crypto-ALU), dual buffering extension (DBE), and local data memory (LDM) scheduler. The experiments on ASIC show that the FECP can perform various hash functions with a power consumption of 0.239-0.676 W, a throughput of 10.2-3.35 Gbps, energy efficiency of 4.44-14.01 Gbps/W, and support up to 8916-bit message input. Compared to state-of-art works, the proposed FECP is 1.65-4.49 times, 1.73-21.19 times, and 1.48-17.58 times better in throughput, energy efficiency, and energy-delay product (EDP), respectively.

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Section: Importance Of Flexible High-performance and Low-power Crypto...mentioning

confidence: 99%

Flexible and Energy-Efficient Crypto-Processor for Arbitrary Input Length Processing in Blockchain-Based IoT Applications

LE,

PHAM,

TRAN

et al. 2024

IEICE Trans. Fundamentals

View full text Add to dashboard Cite

show abstract

“…4) Eunjin Baek et al [31] have introduced the intelligent neural-based spatial-temporal model for microarchitecture memory management. Here, the memory status was identified through the Spatiotemporal features.…”

Section: Related Workmentioning

confidence: 99%

An Intelligent Fault Alert Mechanism for Dynamic IoT Communication Microarchitecture

Gaikwad,

2023

IJRITCC

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The usage Internet of Things (IoT) was maximized throughout the entire world. Hence, the different core processors incorporated microarchitecture makes this IoT communication system. However, the rise of faults due to the malicious event and the data overload might maximize energy and power utilization. So, the current study has proposed a novel Chimp-based Domain adaptation Alert System (CbDAAS) for the dynamic IoT communication microarchitecture. Before initiating the communication sharing process, the present fault in the designed IoT dynamic core microarchitecture was predicted, and those cores were removed for the current data broadcasting process. Henceforth, the designed fault alert microarchitecture is tested in the MATLAB platform. The reliability was valued using different metrics like power usage, energy consumption and detection exactness value. Finally, the validated metrics were compared with the associated studies and scored the finest outcome in fault detection score as 98% and less energy usage at 0.025mj.

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Securing FPGAs in IoT: a new run-time monitoring technique against hardware Trojan

Cheng

Feng

et al. 2023

Wireless Netw

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RISC32-LP: Low-Power FPGA-Based IoT Sensor Nodes With Energy Reduction Program Analyzer

Cited by 9 publications

References 20 publications

Flexible and Energy-Efficient Crypto-Processor for Arbitrary Input Length Processing in Blockchain-Based IoT Applications

Flexible and Energy-Efficient Crypto-Processor for Arbitrary Input Length Processing in Blockchain-Based IoT Applications

An Intelligent Fault Alert Mechanism for Dynamic IoT Communication Microarchitecture

Securing FPGAs in IoT: a new run-time monitoring technique against hardware Trojan

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