Tarun Kumar

Work place: Department of Computer Science Engineering Radha Govind Group of Institutions, Meerut UP, India

E-mail: taruncdac@gmail.com


Research Interests: Autonomic Computing, Image Compression, Image Manipulation, Information Security, Network Security, Image Processing, Mathematics of Computing


Tarun Kumar is an Associate Professor in Radha Govind Group of Institutions, Meerut(U.P.) ,India.He has completed PhD in Computer Science Engg in 2012 from   Bansathali University, Bansthali (Raj.). He has also completed M.Tech in Information Technology in 2006 from GGSIP University Delhi. He has two years of industrial experience and 12 years of teaching experience. His research interests include Optimization Techniques, Soft computing technologies, Wireless Security and Image Processing. His research papers are published in various national and international conferences and intentional journals.

Author Articles
Image Cryptography with Matrix Array Symmetric Key using Chaos based Approach

By Tarun Kumar Shikha Chauhan

DOI: https://doi.org/10.5815/ijcnis.2018.03.07, Pub. Date: 8 Mar. 2018

With the increase in use of digital technology, use of data items in the format of text, image and videos are also increases. To securely send this data, many users and smart applications have adapted the image encryption approach. But the existing concepts are based on general AES approach. There is need to securely send the data with the addition of some expert image encryption and key generation approach. In this paper, we are using Matrix Array Symmetric Key (MASK) for the key generation and Chaos based approach for the image encryption. The main function of MASK is to generate the key for the encryption and decryption. The encryption process involves the generation of key. We have considered the key of MASK-256 for the encryption having 16 rounds. Chaos based concept has been considered for the encryption of image. Here, permutation- substitution based chaos based approach has been adopted for the image encryption. Moreover, in this approach, we have adapted the concept of partial encryption of image pixels instead of complete encryption so that in case of arrack, intruder can be confused with the partial encrypted image. In this approach, different image samples having different sizes have been considered. Further, concept is evaluated based on the parameters of Information Entropy, Elapsed Time, Precision, Recall and F-Measure.

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