Comparative analysis of different AES implementation techniques for efficient resource usage and better performance of an FPGA

Farooq, Umer; Aslam, M. Faisal

doi:10.1016/j.jksuci.2016.01.004

Cited by 55 publications

(47 citation statements)

References 12 publications

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“…In this work, we consider the reference model shown in Fig. 1 and propose to use five different implementations [22] of AES algorithm. These techniques use different hardware implementation optimizations.…”

Section: Reference Iot Modelmentioning

confidence: 99%

“…This is because of the optimized design process and miniaturized processing technologies. Moreover, the efficient implementations of AES [22,23] have made it a suitable candidate that can offer a solution to the security challenges of IoT-based systems. In this regard, authors in [24] have presented an efficient implementation of AES for IoT devices.…”

Section: Introductionmentioning

confidence: 99%

“…Contrary to the aforecited work, in this work, we propose an adaptive framework that considers five different AES implementation schemes [22] for IoT devices. Based on their implementation, these schemes offer different resource and throughput values.…”

Section: Introductionmentioning

confidence: 99%

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Efficient adaptive framework for securing the Internet of Things devices

Farooq

Hasan

Baig

et al. 2019

J Wireless Com Network

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The research on the Internet of Things (IoT) has made huge strides forward in the past couple of years. IoT has its applications in almost every walk of life, and it is being regarded as the next big thing that can change the way humans perceive about their daily life. Smart IoT devices of heterogeneous nature make an essential part of modern day IoT-based systems. The security of these devices is of paramount importance as they handle an enormous amount of critical data and its breach can lead to potentially life-threatening situations. To secure the IoT devices of heterogeneous nature, we formulated a weighted optimization problem in this work. The objective function of this problem is to secure the IoT devices while finding the best trade-off between their resource usage and throughput. To achieve the objective, we consider a pool of five different implementations of Advanced Encryption Standard (AES) cryptographic schemes that offer varied resources and throughput numbers. These implementation schemes are mapped to IoT devices of heterogeneous nature. The mapping is performed through a novel adaptive framework that can consider different weights for resources and throughput to eventually find the best trade-off between the resources and throughput of an IoT-based system. This framework considers the resource and throughput requirements of different IoT devices and uses the Hungarian algorithm to adaptively map different AES implementations on them. Extensive experimentation is performed where the best trade-off is found through varying resource and throughput weight combinations. The comparison of the proposed framework with random and greedy approaches is also performed. Comparison results show that the proposed framework adaptively secures the IoT-based system while providing better resource usage and throughput results. The proposed framework provides, on average, 11% and 17% better throughput and 3% and 13% better resource usage results as compared to random and greedy approach, respectively.

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Section: Reference Iot Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Efficient adaptive framework for securing the Internet of Things devices

Farooq

Hasan

Baig

et al. 2019

J Wireless Com Network

Self Cite

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“…Lee et al [19] have proposed heterogeneous twofold preparing portion (twofold PE) format and a need dealt with booking of sensible to-left twofold and-circuit reliably EC scalar multiplication (ECSM) with randomized controlling technique. The equipment execution is capable paying little character to the way that the ECC plots are secure at cryptanalysis, the private educational assembling constantly in an unprotected gadget contraption will be removed by physical strikes.…”

Section: Related Workmentioning

confidence: 99%

Hardware Implementation of Hybrid Model Encryption Algorithm for Secure Transmission of Medical Images

Cha¹,

Sasilatha²

2019

IJEAT

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The advancement of medical field needs a more secure function for sharing the medical related images in the present environment. For making secure transmission of medical images the best solution is cryptography algorithm. There are many cryptography algorithm existing in the market out of the entire algorithm we are select the best encryption algorithm which is really suitable for medical images transmission. Transmission of data is easy at the same time secure transmission are meet the different challenges. To full fill the all the challenges we concentrating the encryption algorithm which is highly secure. For making more secure transmission hybrid model encryption algorithm support more compare to single encryption algorithm. Its having capable of providing confidentiality, authenticity and integrity services to medical images exchanged in telemedicine applications. The same hybrid model encryption may implement in real time application using FPGA device. While implementing in hardware the following factors need to be concentrate more such as power, area, throughput, PSNR, Sensitivity etc. keeping all the factors in mind the hybrid model encryption algorithm are developed for secure transmission of medical images. The aim of the research is to encrypt and decrypt medical images efficiently and effectively protect the transmitted data. This research paper presents a model for encrypting transmitted medical image data. This model uses the following encryption algorithm such as Advanced Encryption Standard, Rivest Cipher 4.

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“…This paper focuses on the development of a modified AES for file cryptographic transformation based on reduced-round with revised round keys and key schedule to secure confidential files that are either stored locally or to be sent through a network to prevent an unwanted third party from reading the confidential information [16][17][18]. The revised cipher round and key schedule of the modified AES aim to provide a better avalanche effect in the first three rounds and randomness of the ciphertext results [19] while the reduced round compensates the execution time due to the addition of operations in both the cipher round and key schedule algorithm.…”

Section: Introductionmentioning

confidence: 99%

File encryption based on reduced-round AES with revised round keys and key schedule

Reyes

Sison

Medina

2019

IJEECS

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The continuing advancement of technology had provided security issues in protecting the confidentiality of information. The need to protect unauthorized access of a third party is warranted. In this paper, the reduced-round modified AES with revised round keys and key schedule is proposed to ensure file confidentiality. The modifications to the AES cipher round was the reduction of the round iterations from 10 to 6, and additional key permutations were added in between states; while in the key schedule, additional byte substitution process was appended. Time and throughput were utilized to measure the performance of the application's encryption/decryption process; while the avalanche effect and randomness tests were used to measure the security of the modified AES algorithm. The results of evaluations have shown that the encryption and decryption time have improved by 1.27% and 1.21% respectively while the throughput has similarly improved by 1.29% and 3.19% for both encryption and decryption respectively. Whereas the avalanche effect of the modified AES was 50.06% which was more than the ideal value of 50% and it was also better than the standard AES which was 49.94% using the sample dataset. Finally, all the ciphertext outputs of the modified AES passed the randomness tests.

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Comparative analysis of different AES implementation techniques for efficient resource usage and better performance of an FPGA

Cited by 55 publications

References 12 publications

Efficient adaptive framework for securing the Internet of Things devices

Efficient adaptive framework for securing the Internet of Things devices

Hardware Implementation of Hybrid Model Encryption Algorithm for Secure Transmission of Medical Images

File encryption based on reduced-round AES with revised round keys and key schedule

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