IEEE Consumer Electronics Magazine - September/October 2021 - 46

Consumer Electronics Security
Table 2. Comparisonbetween plainandencrypted images.
I
MSE
M
A
G
E
Mandril
PSNR
Correlation
MSE
Living room
PSNR
Correlation
MSE
Pirate
PSNR
Correlation
MSE
Woman
PSNR
Correlation
7249.8021
9.5275
0.0009
7387.1295
9.4460
0.0038
11275.9551
7.6093
-0.0013
7282.2239
9.5082
0.0094
2. S. Ghosh, M. Alam, D. R. Chowdhury, and I. S. Gupta,
" Effect of side-channel attacks on RSA embedded
devices, " in Proc. IEEETENCON2007-IEEERegion 10
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3. X. Yin, K. Wu, H. Li, and G. Xu, " A randomized binary
modular exponentiation based RSA algorithm against
the comparative power analysis, " in Proc. IEEEInt.
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Equip., 2012, pp. 160-165.
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5. M. Wazid, S. Zeadally, and A. K. Das, " Mobile banking:
Evolution and threats: Malware threats and security
solutions, " IEEEConsum. Electron., vol. 8, no. 2,
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CONCLUSION
In this article, the topic of congruence has been
broadened by introducing the solution for Cubic
and Polynomial congruence with the worst time
complexities O(1)and O(p), respectively. Applying
the polynomial congruence concept on the multimedia
content highlighted better protection to the
multimedia data over Cloud in comparison to the
state-of-the-art models, where the informationmay
not be revealed in a reasonable time. Decimationby-2-permutation
and 2-PHT are applied to create
the diffusion in the image encryption before
applying the concept of polynomial congruence.
Afterward, results are compared with some of the
recent existing models to show how robust and
secure the encrypted data. Finally, different analysis
has been made to showhow less vulnerable the
encrypted data to the attackers. Therefore, the
proposed scheme can be applied to the transmission
of multimedia content over the Cloud.
&REFERENCES
1. A. Nanda, D. Puthal, S. P. Mohanty, and U. Choppali,
" A computing perspective of quantum cryptography
[energy and security], " IEEEConsum. Electron. Mag.,
vol. 7, no. 6, pp. 57-59, Nov. 2018.
7. L. Liu, Y. Lei, and D. Wang, " A fast chaotic image
encryption scheme with simultaneous permutationdiffusion
operation, " IEEEAccess, vol. 8,
pp. 27361-27374, 2020.
8. G. Ye, C. Pan, X. Huang, and Q. Mei, " An efficient
pixel-level chaotic image encryption algorithm "
Nonlinear Dyn., vol. 94, pp. 745-756, 2018.
9. H. Diab, " An efficient chaotic image cryptosystembased
on simultaneous permutation and diffusion operations. "
IEEEAccess, vol. 6, pp. 42227-42244, 2018.
10. L. Huang, S. Cai, X. Xiong, and M. Xiao, " On symmetric
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Rama Krishna Koppanati is currently working
toward the Ph.D. degree in computer science and engineering
with Indian Institute of Technology Roorkee,
Roorkee, India. His research areas are network security,
data structures and algorithms, image processing.
Contact him at rkrishnakoppanati@cs.iitr.ac.in
Krishan Kumar is currently an Assistant Professor
with the National Institute of Technology Uttarakhand,
India. His current research areas are cloud computing,
computer vision, biomedical, deep learning, image
processing. Contact him at kkberwal@nituk.ac.in
46
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