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Author

Manashee Kalita

Bio: Manashee Kalita is an academic researcher from North Eastern Regional Institute of Science and Technology. The author has contributed to research in topics: Steganography & Least significant bit. The author has an hindex of 4, co-authored 8 publications receiving 41 citations.

Papers
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Proceedings ArticleDOI
01 Dec 2016
TL;DR: This paper introduces a new steganographic method in transform domain based on contourlet PDFB (pyramidal directional filter bank) based transform that has a good imperceptibility and to show this, the method uses four different visual quality metrics.
Abstract: The technique, digital steganography is a secret data hiding scheme which involves hiding data in multimedia files. Steganographic methods embed secret data in the cover media with minimum visual and statistical distortion. This paper introduces a new steganographic method in transform domain based on contourlet PDFB (pyramidal directional filter bank) based transform. Contourlet is a multiscale and multidirectional transform domain, which provides the both spatial and frequency domain information. This method also uses the wavelet based compression technique like that of JPEG2000 on the secret data for transferring more information with fewer data. The approximation sub-band is embedded in the contourlet coefficients of the cover image. Approximation subband is multiplied by a constant factor k, which is determined experimentally. Modified values of approximation sub-band are embedded in the contourlet subband of the cover image by replacing them directly. Experimental results give that the proposed method has a good imperceptibility and to show this, the method uses four different visual quality metrics.

2 citations

Proceedings ArticleDOI
01 Feb 2017
TL;DR: A new spatial domain steganography method for the grayscale image is presented, which has used neighboring pixel pair difference value and Least Significant Bit (LSB) substitution, which provides enhanced embedding capacity.
Abstract: A new spatial domain steganography method for the grayscale image is presented in this paper. The method has used neighboring pixel pair difference value and Least Significant Bit (LSB) substitution, which provides enhanced embedding capacity. This method uses a 3×3 block structure to divide the cover image into some non-overlapping blocks horizontally. k-LSBs of the center pixel of the cover image block is replaced by k secret bits. The difference value between the neighboring and center pixel value determines the secret bits to be embedded in the pixel pair. Experimental result shows that the suggested method has a higher embedding capacity with good PSNR value of the stego image. Again, this study delivers a comparison of the PSNR value and embedding capacity of the suggested method with the existing methods [4], [6].

1 citations


Cited by
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Journal ArticleDOI
TL;DR: A thorough review of existing types of image steganography and the recent contributions in each category in multiple modalities including general operation, requirements, different aspects, different types and their performance evaluations is provided.

253 citations

Journal ArticleDOI
TL;DR: This paper compares the steganography algorithms of least significant bit and discrete wavelet transform in terms of efficiency and capacity of concealing multiple images within a single cover image.
Abstract: The protection of confidential information transmitted over the Internet and restricting access to specific classified data have become a major security and privacy issue. To conceal the existence of such data, digital image steganography is employed hiding the secret in questions within a cover image, arriving at a new image that is virtually indistinguishable from the original. Thus, concealed data within the cover image is prevented from being detected via unauthorized access. In light of the above, certain aspects, such as the capacity of the cover image and the imperceptibility, need to be analyzed and addressed as they constitute the crucial assessment parameters for the performance of the steganography algorithms. In this paper, we compare the steganography algorithms of least significant bit and discrete wavelet transform in terms of efficiency and capacity of concealing multiple images within a single cover image. We cover the mechanism of the embedding and extraction algorithms for multiple numbers of images to come up with knowledgeable remarks. Furthermore, performance of these stego-algorithms has been evaluated with regard to the capacity of the cover image, imperceptibility of the data, and security.

61 citations

Journal ArticleDOI
27 Oct 2020
TL;DR: This study aims to present an exhaustive scrutiny of various ISTs from the classical to recent developments in the spatial domain, with respect to various image steganographic metrics.
Abstract: Abstract Steganography is the science and art of covert communication. Conversely, steganalysis is the study of uncovering the steganographic process. The evolution of steganography has been paralleled by the development of steganalysis. In this game of hide and seek, the two player’s steganography and steganalysis always want to break the other down. Over the past three decades, research has produced a plethora of remarkable image steganography techniques (ISTs). The major challenge for most of these ISTs is to achieve a fair balance between the metrics such as high hiding capacity (HC), better imperceptibility, and improved security. This study aims to present an exhaustive scrutiny of various ISTs from the classical to recent developments in the spatial domain, with respect to various image steganographic metrics. Further, the current status, recent developments, open challenges, and promising directions in this field are also highlighted.

44 citations

Journal ArticleDOI
TL;DR: This article scrutinizes where the discipline of steganography and steganalysis at this point in time in context to the common user and new researchers in terms of current trends and takes stock the dataset and tools available.
Abstract: Steganography and steganalysis is a relatively new-fangled scientific discipline in security systems and digital forensics, respectively, but one that has matured greatly over the past two decades. In any specialism of human endeavour, it is imperative to periodically pause and review the state of the discipline for what has been achieved till date. This article scrutinizes where the discipline of steganography and steganalysis at this point in time in context to the common user and new researchers in terms of current trends. Also, what has been accomplished in order to critically examine what has been done well and what ought to be done better. The state-of-the-art techniques for steganography and steganalysis (image and video) have been deliberated for the last 5 years literature. Further, the paper also takes stock the dataset and tools available for multimedia steganography and steganalysis with the examples where steganography has been used in real-life. It is a corpus of the author’s opinion and the viewpoints of different other researchers and practitioners, working in this discipline. Additionally, experiments were done using image steganography techniques to analyse the recent trends. This survey is intended to provide a complete guide for common people and new researchers and scholars approaching this field, sight on the existing and the future of steganography and steganalysis.

44 citations

Journal ArticleDOI
TL;DR: The objective of the paper is to examine and scrutinize the different algorithms of steganography based on parameters like PSNR, MSE, and Robustness and make recommendations for producing high-quality stego images, high-payload capacity, and robust techniques of Steganography.
Abstract: The amount of data exchanged via the Internet is increasing nowadays. Hence, data security is termed as a serious issue while communication of data is processed over the Internet. Everyone needs th...

40 citations