S
Srilekha Mukherjee
Researcher at National Institute of Technology, Durgapur
Publications - 17
Citations - 113
Srilekha Mukherjee is an academic researcher from National Institute of Technology, Durgapur. The author has contributed to research in topics: Steganography & Encryption. The author has an hindex of 7, co-authored 17 publications receiving 77 citations.
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Journal ArticleDOI
Image Steganography Using Mid Position Value Technique
TL;DR: A steganographic approach of concealing the secret data so as to facilitate secure communication and the results show that the imperceptibility, i.e. non-detectability of secret data is well maintained.
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A chaos based image steganographic system
Srilekha Mukherjee,Goutam Sanyal +1 more
TL;DR: This approach can be used to provide an additional layer of protection to any system that communicates important data/information through any kind of globally accessed medium and serves its purpose of providing seamless security between sender and receiver without producing any distortion in the images.
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Edge based image steganography with variable threshold
Srilekha Mukherjee,Goutam Sanyal +1 more
TL;DR: A new image steganography technique facilitating embedding and extraction mechanisms have been proposed, which has quite a remarkable embedding capacity and may be used to deliver a status of security to a system which communicates secure data files through any public surveillance medium.
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Enhanced Position Power First Mapping (PPFM) based image steganography
Srilekha Mukherjee,Goutam Sanyal +1 more
TL;DR: A new image steganographic approach is proposed that competently masks the secret information bits without enticing the hackers and crackers and incorporates a two-level security mechanism in the form of two-way scrambling.
Journal ArticleDOI
A multi level image steganography methodology based on adaptive PMS and block based pixel swapping
Srilekha Mukherjee,Goutam Sanyal +1 more
TL;DR: This paper consists of a proposed approach that braces the security concern in the realm of image steganography with respect to substantial performance metrics and shows that the foothold of imperceptibility is well maintained.