An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies
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Chandrashekhar Patel
Abstract
Our daily activities in the new digital age are heavily reliant on the internet. Online communication is used for many purposes, including leisure, commerce, and work-related activities. It suggests that a significant amount of data being exchanged online. Therefore, the researcher is concentrating on security to stop threats and online vulnerabilities. To make digital communication quick and secure, the authors used an energy-efficient FPGA-based implementation of the AES algorithm. The XPA (XPower Analyzer) tool is used to analyze total power usage throughout the experimental activity, and the Vivado IDE tool is utilized for simulation using the Verilog language. To calculate the overall amount of power consumed with voltages ranging from 0.95 to 1.20 V, voltage scaling is applied. The average total power consumption of the IO standard family HSTL_I, according to the researcher’s analysis, is 0.0938 W that is less than that of the other IO standard families, making it the most appropriate for our digital component.
Abstract
Our daily activities in the new digital age are heavily reliant on the internet. Online communication is used for many purposes, including leisure, commerce, and work-related activities. It suggests that a significant amount of data being exchanged online. Therefore, the researcher is concentrating on security to stop threats and online vulnerabilities. To make digital communication quick and secure, the authors used an energy-efficient FPGA-based implementation of the AES algorithm. The XPA (XPower Analyzer) tool is used to analyze total power usage throughout the experimental activity, and the Vivado IDE tool is utilized for simulation using the Verilog language. To calculate the overall amount of power consumed with voltages ranging from 0.95 to 1.20 V, voltage scaling is applied. The average total power consumption of the IO standard family HSTL_I, according to the researcher’s analysis, is 0.0938 W that is less than that of the other IO standard families, making it the most appropriate for our digital component.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Machine learning-enabled techniques for speech categorization 1
- Comprehensive study of cybersecurity issues and challenges 21
- An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies 41
- A comparative study on security issues and clustering of wireless sensor networks 55
- Heuristic approach and its application to solve NP-complete traveling salesman problem 69
- Assessment of fake news detection from machine learning and deep learning techniques 87
- Spam mail detection various machine learning methods and their comparisons 119
- Cybersecurity threats in modern digital world 137
- Mechanism to protect the physical boundary of organization where the private and public networks encounter 149
- By combining binary search and insertion sort, a sorting method for small input size 167
- Index 179
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
- Machine learning-enabled techniques for speech categorization 1
- Comprehensive study of cybersecurity issues and challenges 21
- An energy-efficient FPGA-based implementation of AES algorithm using HSTL IO standards for new digital age technologies 41
- A comparative study on security issues and clustering of wireless sensor networks 55
- Heuristic approach and its application to solve NP-complete traveling salesman problem 69
- Assessment of fake news detection from machine learning and deep learning techniques 87
- Spam mail detection various machine learning methods and their comparisons 119
- Cybersecurity threats in modern digital world 137
- Mechanism to protect the physical boundary of organization where the private and public networks encounter 149
- By combining binary search and insertion sort, a sorting method for small input size 167
- Index 179
