Work place: GLA University, Mathura, India
Research Interests: Image Compression, Image Manipulation, Image Processing
Dr. Hitendra Garg did his PhD (CSE) from Motilal Nehru National Institute of Technology, Allahabad and Masters ( Software Systems) from BITS-Pilani.
He is presently working as Associate Professor in Department of Computer Engineering and Applications of GLA University, Mathura, India. He has total experience of more than 17 years in the field of academics / research. He has more than 20 research papers in the international journals / conference of repute. His research areas are Image Processing, Visual Cryptography, 3D data processing.
DOI: https://doi.org/10.5815/ijcnis.2019.11.02, Pub. Date: 8 Nov. 2019
Visual cryptography by name itself suggests cryptography related to images. It is a branch of cryptography that deals with the encryption and decryption of images. Visual cryptography demonstrates a visual secret sharing scheme in which an image has been divided into n shares and original image can be decrypt with these shares without / less computational efforts. This paper proposed an efficient (n, n) visual secret image sharing method using random grids. This scheme gives the complete retrieval of secret image using XOR stacking without the need of a codebook. The Random Grid based Visual Cryptography results no pixel expansion. The proposed method works for (shares) for retrieval of original image. Experimental results demonstrate that the proposed method produces better results in terms of simplicity, visual quality and performance.[...] Read more.
DOI: https://doi.org/10.5815/ijcnis.2019.07.03, Pub. Date: 8 Jul. 2019
An essential parameter of information security during data transmission is a secure cryptographic system. In this paper a new cryptographic security technique is proposed to secure data from un-authorized access. The proposed system incorporate cryptology technique of encryption inherits the concept of DNA based encryption using a 128-bit key. Besides this key, round key selection technique, random series of DNA based coding and modified DNA based coding are followed by unique method of substitutions. The proposed technique increases size of the cipher text by 33% as compared to conventional DNA and non DNA based algorithms where size of the cipher text becomes almost double of the original file. This reduction in cipher text improves memory utilization along with data security.
The paper is organized in six Sections. Section 1, gives the introduction and also briefly describes related work. In Section 2, the proposed model for solving the problem is described. Various steps involved during encryption and decryption are explained in Section 3, and the results obtained by implementing the proposed algorithm are presented and discussed in Section 4. The Section 5 concludes the work and brief outline of the future work is given in Section 6.
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