TY - JOUR
T1 - A novel secure solution of using mixed reality in data transmission for bowel and jaw surgical training
T2 - markov property using SHA 256
AU - Maharjan, Reena
AU - Alsadoon, Abeer
AU - Prasad, P. W.C.
AU - Giweli, Nabil
AU - Alsadoon, Omar Hisham
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC part of Springer Nature.
PY - 2021/5
Y1 - 2021/5
N2 - Telepresence
surgical training based on mixed reality over the Internet is exposed
to various cyber-attacks. Providing an adequate level of security
against such attacks becomes an essential requirement for implementing
this technology. The aim of this work is to improve the security of data
transmission against several potential attacks while reducing the
required execution time for encryption and decryption during real-time
surgical telepresence training. In this research, a cryptosystem based
on an enhanced chaotic map with Markov property using the Secure Hash
Algorithm with 256-bit (SHA-256) is proposed to secure data during
transmission. The enhanced chaotic map governs the diffusion process for
image ciphering. The proposed scheme reduces the average processing
time by 23.49%, i.e., from 83.99 ms (millisecond) to 64.33 ms, compared
to the current state of the art solution, which is used as a benchmark
in this work. Moreover, the Peak Signal to Noise Ratio (PSNR), which is
used for measuring the encryption strength, is reduced by 17.33%, i.e.,
from 36.13 dB (decibel) to 29.87 dB compared to the same benchmark. The
proposed solution demonstrates significant improvement in securing data
against brute force attack, known-plaintext attack, chosen-plaintext
attack and other statistical attacks. Also, the solution reduces the
processing time required for both encryption and decryption.
AB - Telepresence
surgical training based on mixed reality over the Internet is exposed
to various cyber-attacks. Providing an adequate level of security
against such attacks becomes an essential requirement for implementing
this technology. The aim of this work is to improve the security of data
transmission against several potential attacks while reducing the
required execution time for encryption and decryption during real-time
surgical telepresence training. In this research, a cryptosystem based
on an enhanced chaotic map with Markov property using the Secure Hash
Algorithm with 256-bit (SHA-256) is proposed to secure data during
transmission. The enhanced chaotic map governs the diffusion process for
image ciphering. The proposed scheme reduces the average processing
time by 23.49%, i.e., from 83.99 ms (millisecond) to 64.33 ms, compared
to the current state of the art solution, which is used as a benchmark
in this work. Moreover, the Peak Signal to Noise Ratio (PSNR), which is
used for measuring the encryption strength, is reduced by 17.33%, i.e.,
from 36.13 dB (decibel) to 29.87 dB compared to the same benchmark. The
proposed solution demonstrates significant improvement in securing data
against brute force attack, known-plaintext attack, chosen-plaintext
attack and other statistical attacks. Also, the solution reduces the
processing time required for both encryption and decryption.
KW - Chaotic map with Markov property
KW - Confusion
KW - Diffusion
KW - Mixed reality
KW - SHA-256
KW - Telepresence surgical training
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U2 - 10.1007/s11042-021-10674-w
DO - 10.1007/s11042-021-10674-w
M3 - Article
AN - SCOPUS:85101705542
SN - 1380-7501
VL - 80
SP - 18917
EP - 18939
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
IS - 12
ER -