About Me |
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Shreela Dash, has obtained Ph.D degree from KIIT University, Bhubaneswar in 2021. She has completed B.E. degree with honours in Computer Science and Engineering from Bhadrak Institute of Engineering and Technology, F.M University , Odisha in the year 2002 and completed M.Tech. from KIIT University, Bhubaneswar, in 2007. She Was working as an Asst. Professor in the department of CSE at C.V raman College of Engineering, Bhubaneswar from 2009 to 2018 and Senior Faculty ,IT in iNurture Education solutions from 2018 to 2019 December.Currently she is working as Asst.Prof. in Centurion University of Technology,BBSR since 2nd Jan 2020. She is having 15 years of teaching experience and carrying out research in various aspects of Information security, Image processing. She is having 7 publications in various journals and conferences and guided many B.Tech. and M.Tech. projects in her area of interests.
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Steganography is the process of hiding a secret message within a larger one in such a way that someone can not
know the presence or contents of the hidden message. The purpose of Steganography is to protect the hidden information
from the outside world and the security will increase if the secret information can’t be retrieved even if the attacker has
the idea of embedding method. The proposed technique is a new approach which is a combination of edge adaptive and
LSB steganography. In this method some pixels of secret information are hidden in the edge pixels of RGB color image in
each of the 3 color components by performing XOR on least significant 2 bits of edge pixels and other pixels of the secret
information are hidden in the LSB of non edge pixels.. As a result it is difficult to retrieve the hidden information because
the hidden information is kept in two different categories of pixels. It has been shown by the experimental results that the
quality of image is not degraded even after the addition of secret data.
Steganography is the process of hiding a secret
message within a larger one in such a way that someone
cannot know the presence or contents of the hidden message.
The purpose of Steganography is to protect the hidden
information from the outside world and the security will
increase if the secret information can’t be retrieved even if the
attacker has the idea of embedding method. The proposed
technique is a new approach which is a combination of region
based edge adaptive LSB steganography with Huffman
coding. In this method some pixels of secret information are
hidden in the edge pixels of RGB colour image in each of the
three colour components by performing XOR on least
significant two bits of edge pixels and other pixels of the secret
information are hidden in the LSB of non-edge pixels. As a
result it is difficult to retrieve the hidden information because
the hidden information is kept in two different categories of
pixels. It has been shown by the experimental results that the
quality of image is not degraded even after the addition of
secret data.
Data mining based classification is one of the important role in the field of healthcare. Diagnosis of health conditions is a very important and challenging task in field of medical science. There are various types of diseases are diagnosis in medical science. Thyroid disease is one of critical diseases that is very serious problem and affected the health of human being. Thyroid decease classification is one of the important problems in medical science because it is directly related to health condition of human body, this type of disease can be solve by proper identify and carefully treatment. This paper focuses on the survey of diagnosis of thyroid. There are various authors have worked in the field of thyroid diseases classification and give the classification accuracy with robust model. This research is also focus on the various techniques that is applied for classification of thyroid data.
In the modern era, Internet is the most widely used transmission medium. While transmitting any secret information through any public channel, then that may be hacked in between. So to send data to the receiver without any kind of damage, here we have proposed a hybrid method by using both the cryptography and steganography technique. The secret message is first encrypted by using chaotic neural network. For encrypting data, we used CNN because of its random nature which is very challenging for hackers to know about the secret information. The secret key decides the position to hide the encrypted data. Only authorized users share the secret key. The receiver finds the original message by using secret key and then decryption is performed. Our experiment shows that PSNR of our method is very high as the technique modifies lesser number of bits. This method provides good security and less distortion to original image.
Information security is one of the challenging problems nowadays, and to solve this problem, a new algorithm which provides double layer security is proposed, by combining region-based steganography with chaotic encryption. Region-based steganography is the technique of protecting the hidden information in certain regions of interest, which is most efficient for data hiding. One of them is the edge region in image, which is most effective for data hiding. For encrypting data, we used CNN because of its random nature which is very challenging for hackers to know about the secret information. In the proposed work, the secret data are first encoded using CNN, and then, the scrambled message is embedded inside the edge region of cover image using matrix encoding scheme, which provides high security. The complete procedure is instigated in MATLAB, and the result analysis is given, which shows the strength of the technique.
In the digital world to maintain confidentiality, integrity and authenticity of the web, audio or video communication Steganography is the mostly used technique. The major characteristics of information hiding scheme is to increase the payload of secret data with less visual distortion and better secrecy. For information hiding, identifying the suitable locality to embed the key message but with the smallest amount of deformation of the cover medium remains a troublesome matter. To achieve this goal, we propose a unique information hiding method which results in enhanced performance. The extracted attributes of the image is given as input to the KNN classifier. It classifies the block and determines the hiding capacity of each block. To provide better hiding the secret message is encoded using Adaptive Huffman encoding technique. Some evaluating metric both Qualitative and Quantitative like Structural similarity index (SSIM), PSNR and MSE are calculated to compare the performance of the proposed method with the existing information hiding approaches. The proposed scheme results in better performance with respect to capacity of hiding with less noise.