Fast implementation of AES on Cortex-M3 for security information devices

Wardhani, Rini Wisnu; Ogi, Dion; Saad, Mohamad; Septono, P. Dedy

doi:10.1109/qir.2017.8168489

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…Wardhani et al [3] explicates the fundamental objective of the described implementation, focusing on the achievement of secure communication through a 128-bit encryption key. Initially, data undergoes encryption before transmission, and the resulting encrypted voice data is then sent to another node using a communication module.…”

Section: Literature Workmentioning

confidence: 99%

Secure File Operations: Using Advanced Encryption Standard for Strong Data Protection

Nelakuditi,

Namburi,

Sayyad

et al. 2024

IJSSE

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Section: Literature Workmentioning

confidence: 99%

Secure File Operations: Using Advanced Encryption Standard for Strong Data Protection

Nelakuditi,

Namburi,

Sayyad

et al. 2024

IJSSE

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“…Rastoceanu et al 1 explore securing communication using algorithms such as AES-256 CTR, HMAC SHA 256 of streaming video data in various MPEG4, H.264 and H.265 formats. Wardhani et al 8 explore strategies used in a target MCU (Cortex-M based NXP LPC1769) platform to reduce the cycle count, and make AES implementations faster. They manage to reach as low as 264 cycles for the AES-192 implementation with key expansion.…”

Section: State Of the Artmentioning

confidence: 99%

Embedded platform characterization for interface throughput and computing power in common 8/16/32-bit platforms

Simion

Bîră²,

Voiculescu³

2023

Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI

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This paper is a guide for selecting an IoT embedded platform depending on the required performance, in streaming scenarios: data is received via UART, is processed (e.g. IAXPY, GEMM, AES encryption) and then is sent back via the same data interface. Platforms: 8-bit AVR (ATMEGA328P of Arduino UNO), 16-bit TI (MSP430), 32-bit RP2040 (Pi Pico board), 32-bit LX6 (ESP8266 and ESP32), 32-bit TI (CC3200), 32-bit STM32.

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“…The main processing unit is ARM CORTEX M3 LPC 1769. [10]The ARM Cortex M3 -LPC 1769 is a feature-rich microcontroller with a 32-bit RISC architecture, clock speed up to 120 MHz, 512 KB flash memory, multiple communication interfaces, low power consumption, built-in ADC and DAC, and high-speed GPIO pins. Figure 2a represents the various sensors interfaced with LPC 1769 and Fan controlled through relay.…”

Section: Pfem Iot Nodementioning

confidence: 99%

AIoT-Driven Edge Computing for Rural Small-Scale Poultry Farming: Smart Environmental Monitoring and Anomaly Detection for Enhanced Productivity

Gandhi K

2023

IJRITCC

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The growing demand for chicken production has emphasized the importance of maintaining optimal conditions to improve quality and productivity.The integration of Artificial Intelligence (AI) and the Internet of Things(IoT) is recommended for the efficient management of the farm's environment. A potential solution is presented in this paper, utilizing IoT-based sensor nodes with ARM Cortex M3 - LPC 1769 and LORA technology to monitor chicken farms across diverse regions.The proposed solution incorporates a low-cost edge computing server-Jetson Nano device equipped with a machine learning model to categorize and monitor live environmental conditions in poultry farms. Real-time data from various branches is collected and analyzed using machine learning classification techniques including logistic regression, K nearest neighbors, and support vector machines.The performance of these algorithms is compared to identify the most effective approach. Upon evaluation, the K nearest neighbors emerges as the superior performer, achieving an impressive accuracy of 99.72% and an execution duration of 0.087 seconds on the Jetson Nano edge computing device. This cost-effective technology is tailored for small businesses in regions where farmers can gain valuable insights from data-driven decisions and closely monitor their operations. By incorporating AIoT into farm management, the challenges faced by small-scale poultry farming can be addressed, empowering farmers with enlightened techniques to improve overall productivity and quality.

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Fast implementation of AES on Cortex-M3 for security information devices

Cited by 5 publications

References 5 publications

Secure File Operations: Using Advanced Encryption Standard for Strong Data Protection

Secure File Operations: Using Advanced Encryption Standard for Strong Data Protection

Embedded platform characterization for interface throughput and computing power in common 8/16/32-bit platforms

AIoT-Driven Edge Computing for Rural Small-Scale Poultry Farming: Smart Environmental Monitoring and Anomaly Detection for Enhanced Productivity

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