Accelerating Image Encryption with AES Using GPU: A Quantitative Analysis

Saxena, Aryan; Agrawal, Vatsal; Chakrabarty, Rajdeepa; Singh, Shubhjeet; Banu, J. Saira

doi:10.1007/978-3-030-16660-1_37

Cited by 4 publications

(2 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Realtime [5,9], high-protective [5,10,11], remote sensing [12], computer vision [13], deep learning [14], super-resolution [15,16], and multimedia [17] applications are important indirect causes. Transmission cost [18], hardware cost, and the power consumption [19,20], is an example of an indirect cause. The use of multi-type maps [21], the size of the images, and some redundancy [5] can also help with efficiency through parallelism.…”

Section: Background and Motivationmentioning

confidence: 99%

An Accelerator-based Logistic Map Image Cryptosystems for Grayscale Images

Holla

Pais

Suma

2021

JCSANDM

View full text Add to dashboard Cite

The logistic map is a class of chaotic maps. It is still in use in image cryptography. The logistic map cryptosystem has two stages, namely permutation, and diffusion. These two stages being computationally intensive, the permutation relocates the pixels, whereas the diffusion rescales them. The research on refining the logistic map is progressing to make the encryption more secure. Now there is a need to improve its efficiency to enable such models to fit for high-speed applications. The new invention of accelerators offers efficiency. But the inherent data dependencies hinder the use of accelerators. This paper discusses the novelty of identifying independent data-parallel tasks in a logistic map, handing them over to the accelerators, and improving their efficiency. Among the two accelerator models proposed, the first one achieves peak efficiency using coalesced memory access. The other cryptosystem further improves performance at the cost of more execution resources. In this investigation, it is noteworthy that the parallelly accelerated logistic map achieved a significant speedup to the larger grayscale image used. The objective security estimates proved that the two stages of the proposed systems progressively ensure security.

show abstract

Section: Background and Motivationmentioning

confidence: 99%

An Accelerator-based Logistic Map Image Cryptosystems for Grayscale Images

Holla

Pais

Suma

2021

JCSANDM

View full text Add to dashboard Cite

show abstract

“…[10], [11], [12] have shown that GPU has been accepted as a new implementation platform to improve the performance for block ciphers. The results of [13] and [14] show that the GPU possesses a much powerful parallel performance than CPU and can largely fasten the speed of encryption algorithms.…”

Section: Differentialmentioning

confidence: 99%