Abstract

In current days, there is a constant evolution in modern technology. The most predominant usage of technology by society is the internet. There are many ways and means on the internet through which data is transmitted. Having such rapid and fast growth of communicating media also increases the exposure to security threats, causing unintellectual information ingress. Steganography is the main aspect of communicating in an aspect that hides the extent of communication. Steganalysis is another essential concern in data concealing, which is the art of identifying the existence of steganography. A framework has been designed to identify the concealed data in the multimedia file in the proposed system. This work's main strength is analyzing concealed data images without embedding and extracting the image's payloads. A quantitative steganalysis approach was considered to accomplish the proposed objective. By using this approach, the results were achieved with 98% accuracy.

Highlights

  • Exchanging data now-a-days is not a complex task

  • Steganalysis is another essential concern in data concealing, which is the art of identifying the existence of steganography

  • Steganography concepts has been used for hiding the data in text files or images or videos or audio in-short via Multimedia

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Summary

INTRODUCTION

Exchanging data now-a-days is not a complex task. But exchanging the same data without the interruption of the third party is a critical task. Steganography uses to conceal the data by authorized persons and deceive the data by the intended persons only It is a type of covert communication and helpful to work on complex communication models. LITERATURE SURVEY (Rupa, 2016) presented a powerful Steganography system that uses merging scientific techniques and algorithms which will be efficient for communication This systematic way uses RSA cryptography method for secret data encryption. Cryptography and steganography have been used to detect the message they have incorporated They use some techniques to hide the message and apply the application of detecting the hidden information. Many researchers carried their work in identifying the concealed data in images using various techniques like DWT based securing the secret images, micro dot technology used in olden ages mostly in World War II and many Steganalysis techniques. The authors have used SegNet Neural Network to improve the capacity of the proposed steganographic approach (Table 1)

PROPOSED METHOD
Low Complexity Linear Classifier
METHODOLOGY
Findings
CONCLUSION AND FUTURE WORK
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