TY - GEN
T1 - Analysis of Feature Enhancements in Visual Secret Sharing
AU - Raviraja Holla, M.
AU - Suma, D.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Visual Secret Sharing (VSS) aims at sharing of secrecy among many shadows depending on the number of dealers. These encrypted shadows themselves cannot reveal secrecy. A group of a pre-qualified number of shadows is sufficient to obtain the secret image. The quality of this secret is usually approximate to the original confidential image. This technique has evolved, offering solutions to the demands of the matured Internet domain. This paper analyzes the feature advancements in the VSS field. The VSS approaches remain distinct from the conventional cryptography, thereby offering new security solutions in many applications. Security being the central and challenging demand in contemporary information systems, the analysis of the state-of-the-art VSS stands significant.
AB - Visual Secret Sharing (VSS) aims at sharing of secrecy among many shadows depending on the number of dealers. These encrypted shadows themselves cannot reveal secrecy. A group of a pre-qualified number of shadows is sufficient to obtain the secret image. The quality of this secret is usually approximate to the original confidential image. This technique has evolved, offering solutions to the demands of the matured Internet domain. This paper analyzes the feature advancements in the VSS field. The VSS approaches remain distinct from the conventional cryptography, thereby offering new security solutions in many applications. Security being the central and challenging demand in contemporary information systems, the analysis of the state-of-the-art VSS stands significant.
UR - http://www.scopus.com/inward/record.url?scp=85091335857&partnerID=8YFLogxK
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U2 - 10.1109/ICCSP48568.2020.9182166
DO - 10.1109/ICCSP48568.2020.9182166
M3 - Conference contribution
AN - SCOPUS:85091335857
T3 - Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020
SP - 828
EP - 832
BT - Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing, ICCSP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE International Conference on Communication and Signal Processing, ICCSP 2020
Y2 - 28 July 2020 through 30 July 2020
ER -