AES Encryption Algorithm Hardware Implementation: Throughput and Area Comparison of 128, 192 and 256-bits Key

Author(s):  
Samir El Adib ◽  
Naoufal Raissouni
Author(s):  
Samir El Adib ◽  
Naoufal Raissouni

<span lang="EN-US">Advanced Encryption Standard (AES) adopted by the National Institute of Standards and Technology (NIST) to replace existing Data Encryption Standard (DES), as the most widely used encryption algorithm in many security applications. Up to today, AES standard has key size variants of 128, 192, and 256-bit, where longer bit keys provide more secure ciphered text output. In the hardware perspective, bigger key size also means bigger area and small throughput. Some companies that employ ultra-high security in their systems may look for a key size bigger than 128-bit AES. In this paper, 128, 192 and 256-bit AES hardware are implemented and compared in terms of throughput and area. The target hardware used in this paper is Virtex XC5VLX50 FPGA from Xilinx. Total area and Throughput results are presented and graphically compared.</span>


Author(s):  
Christos Stergiou ◽  
Kostas E. Psannis

Mobile cloud computing provides an opportunity to restrict the usage of huge hardware infrastructure and to provide access to data, applications, and computational power from every place and in any time with the use of a mobile device. Furthermore, MCC offers a number of possibilities but additionally creates several challenges and issues that need to be addressed as well. Through this work, the authors try to define the most important issues and challenges in the field of MCC technology by illustrating the most significant works related to MCC during recent years. Regarding the huge benefits offered by the MCC technology, the authors try to achieve a more safe and trusted environment for MCC users in order to operate the functions and transfer, edit, and manage data and applications, proposing a new method based on the existing AES encryption algorithm, which is, according to the study, the most relevant encryption algorithm to a cloud environment. Concluding, the authors suggest as a future plan to focus on finding new ways to achieve a better integration MCC with other technologies.


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