Secure Dissemination and Protection of Raster Data using Merkle Hash Tree based Cryptowatermarking

Sangita Santosh Chaudhari,M.D Patil,V.A Vyawahare

doi:10.1051/itmconf/20203203049

Abstract

Due to rapid development in the Internet and other communication technologies, it becomes quite easy to copy and distribute multiple illegal copies of high value and sensitive data. Raster data is one of the high voluminous data and it requires huge efforts to sense and generate this data. Therefore, ownership protection as well as its integrity become one of the key problems in spatial information service. There are lot many schemes are available for watermarking and encryption individually, but if both are combined gives manifold advantages. This paper presents a cryptowatermarking scheme by combining watermarking and encryption to protect the copyright of raster data as well as to provide security dissemination level. We have proposed a scheme by employing double transposition, LSB substitution watermarking and Merkle Hash Tree for encryption and watermarking. It has been observed that the proposed scheme is not only robust against encryption attacks, but also has transparency, strongness, large data hiding capacity and correct extraction of watermark.

Highlights

Due to rapid growth in communication technology, it becomes extremely easy to digitise data and generate other multimedia contents
Encrypted watermarked raster data and decrypted raster data are shown in figure 3 and 4
Secure Hash Algorithm (SHA) 256 is used for hashing in Merkle Hash Tree and RSA digital signature is employed for signing the root of Merkle Hash Tree

Summary

Introduction

Due to rapid growth in communication technology, it becomes extremely easy to digitise data and generate other multimedia contents. In most of the applications, cryptographic mechanisms such as encryption and digital signatures are used to achieve confidentiality, integrity, and nonrepudiation services All these listed security mechanisms generally help users to safeguard their data at storage and communication. Jiang and Xu [9] depicted simultaneous encryption and watermarking operations in their scheme which they proposed for remote sensing data. Encryption and watermarking are integrated in the scheme proposed by Jiang et al [10] They have utilised orthogonal decomposition of remote sensing data. This paper presents the idea of combining cryptography and watermarking to secure raster data. Simple yet effective transposition cipher, LSB based watermarking and robust Merkle hash tree is combined to provide secure solution for safeguarding raster data.

Proposed Scheme

Results and Discussion

Conclusion