STEGANOGRAPHY PRESENTATION SLIDES
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This project introduces a new methodology for hiding text data in RGB images. The methodology uses a spiral and snake scanning technique to hide payload in the least significant bit of image pixels. It involves three steps: scanning the image pixels, encrypting the text by modifying the image bit planes, and decrypting the text from the stego-image. The technique was tested on images from 24x24 to 1024x1024 pixels and was found to maintain high image quality as measured by PSNR, MSE and entropy metrics.
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Steganography
This document describes a final year B.Tech project on steganography presented by three students under the guidance of Ms. Monika Srivastava. It provides an overview of steganography, how it works, the methodology used including traditional hidden messages and modern digital methods of embedding messages in images and audio. It explains the LSB steganography algorithm in detail using an example and calculations for determining the number of characters that can be hidden in an image. The document discusses merits of steganography being more secure while a demirit is its complex process. It concludes by noting steganography hides information secretly between the sender and receiver and has both benefits and drawbacks.
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Steganography in images
This document summarizes steganography techniques for hiding data in digital images. It discusses how steganography hides secret messages in cover images such that a third party is unaware of the hidden data. The document focuses on the least significant bit (LSB) technique, where the LSB of image pixel values are replaced with bits of the secret message. It provides algorithms for embedding data into and extracting data from images using LSB matching. The document also discusses using gray scale images and separating images into RGB layers to increase embedding capacity while maintaining image quality.
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Image Steganography
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The document discusses steganography techniques for hiding data in digital images. It describes how the least significant bit of pixels can be altered to embed hidden messages, leaving the image nearly indistinguishable to human eyes. An example algorithm is provided that replaces the least significant bit of each pixel with a bit from the secret message. Applications are discussed including secure file transfers and hidden communication between governments. The document also outlines pros and cons of steganography and summarizes how the students successfully created an application to encrypt and decrypt hidden messages in images using least significant bit substitution.
Steganography
This document provides an overview of steganography, the art and science of hidden writing. It defines steganography as communicating in a way that hides the existence of a message. The document then discusses various digital and analog steganography techniques, including embedding messages in images, audio, video and other file types. It also covers the use of machine identification codes in printers, text encoding, and security schemes used to improve steganographic robustness.
Steganography
This document discusses steganography, which is the practice of hiding secret information within other information. It provides an introduction and history of steganography, describing how it has been used for centuries to hide messages. The document then discusses different types of steganography, including fragile steganography which embeds information that is destroyed if the file is modified, and robust steganography which aims to embed information that cannot easily be destroyed. It also describes the least significant bit (LSB) technique for hiding information in digital images by changing the LSB of pixels without affecting the appearance of the image. Examples are provided to illustrate how the LSB technique works.
Steganography
Steganography is the art and science of hiding messages within other non-secret text, images, or other files. It works by encoding hidden messages within carrier files like images, videos, or documents in a way that avoids attracting attention to the message itself. Common techniques for steganography include least significant bit insertion and masking and filtering. While it can be used for privacy, it has also been used by hackers, terrorists, and criminals for illegal purposes.
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This document discusses steganography and using the least significant bit (LSB) technique to hide data in images. It explains that steganography involves hiding, disguising, covering or masking data within another cover file. The LSB technique hides data by changing the least significant bits of pixels in an image. This makes very small changes to the image that are imperceptible to the human eye, allowing a message like "hello world" to be hidden one character at a time across pixels without noticeably changing the overall look of the cover image.
Steganography in images
This document summarizes steganography techniques for hiding data in digital images. It discusses how steganography hides secret messages in cover images such that a third party is unaware of the hidden data. The document focuses on the least significant bit (LSB) technique, where the LSB of image pixel values are replaced with bits of the secret message. It provides algorithms for embedding data into and extracting data from images using LSB matching. The document also discusses using gray scale images and separating images into RGB layers to increase embedding capacity while maintaining image quality.
Image steganography
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Image Steganography
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The document discusses steganography techniques for hiding data in digital images. It describes how the least significant bit of pixels can be altered to embed hidden messages, leaving the image nearly indistinguishable to human eyes. An example algorithm is provided that replaces the least significant bit of each pixel with a bit from the secret message. Applications are discussed including secure file transfers and hidden communication between governments. The document also outlines pros and cons of steganography and summarizes how the students successfully created an application to encrypt and decrypt hidden messages in images using least significant bit substitution.
Steganography
This document provides an overview of steganography, the art and science of hidden writing. It defines steganography as communicating in a way that hides the existence of a message. The document then discusses various digital and analog steganography techniques, including embedding messages in images, audio, video and other file types. It also covers the use of machine identification codes in printers, text encoding, and security schemes used to improve steganographic robustness.
Steganography
This document discusses steganography, which is the practice of hiding secret information within other information. It provides an introduction and history of steganography, describing how it has been used for centuries to hide messages. The document then discusses different types of steganography, including fragile steganography which embeds information that is destroyed if the file is modified, and robust steganography which aims to embed information that cannot easily be destroyed. It also describes the least significant bit (LSB) technique for hiding information in digital images by changing the LSB of pixels without affecting the appearance of the image. Examples are provided to illustrate how the LSB technique works.
Steganography
Steganography is the art and science of hiding messages within other non-secret text, images, or other files. It works by encoding hidden messages within carrier files like images, videos, or documents in a way that avoids attracting attention to the message itself. Common techniques for steganography include least significant bit insertion and masking and filtering. While it can be used for privacy, it has also been used by hackers, terrorists, and criminals for illegal purposes.
Stegnography
A PPT on Stegnography,
It describes the security of information via images by encrypting and decrypting it with the document.
Uses of different models and diagrams.
Steganography - The art of hiding data
This document provides an overview of steganography, including:
1) Steganography is the art of hiding information in plain sight so that the very existence of a hidden message is concealed. It works by embedding messages within images, audio, or other files.
2) Modern uses include digital watermarking to identify ownership, hiding sensitive files, and illegitimate uses like corporate espionage, terrorism, and child pornography.
3) Techniques include least significant bit insertion to replace bits in files, injection to directly embed messages, and generating new files from scratch. Detection methods like steganalysis aim to discover hidden information.
Steganography
This document provides an overview of steganography. It discusses how steganography hides messages within carriers so that the message is concealed. The document then discusses the history of steganography dating back to ancient Greece. It also discusses modern uses of steganography during the Cold War and by terrorist groups. The document outlines the objectives of the study which are to provide security during message transmission. It then discusses steganography techniques like LSB substitution and how LSB works to embed messages in images. Snapshots of the designed steganography application are provided along with results discussing the efficiency of the LSB algorithm used. The document concludes by discussing future work to improve the technique.
About Steganography
Steganography is the process of hiding secret information within ordinary media so that the very existence of the message is concealed. It works by embedding messages within images, videos, or audio files. Various techniques exist such as least significant bit insertion and algorithms/transformations. Tools allow hiding data in file formats like JPEG, PNG, and MP4. Detection methods include visual analysis and statistical steganalysis to analyze for subtle changes from hidden data. Steganography has uses for covert communication but also intellectual property and digital rights management.
Image Steganography Project Report
The document is a student project report on image steganography. It discusses using the least significant bit (LSB) method to hide information in digital images. The summary is:
1. It introduces steganography and LSB methods for hiding data in digital images by replacing the least significant bits of pixels.
2. Code is presented to embed a hidden message in an image by modifying pixels' LSBs and decoding the message from the stego image.
3. The report evaluates LSB steganography's advantages for covert communication but notes room for improving embedding capacity while maintaining secrecy.
steganography
Steganography is the art of hiding secret messages within other non-secret text, images, or other files. It works by embedding messages into the redundant or insignificant parts of cover files, like images or audio files. Modern steganography techniques hide data by making subtle alterations to things like the least significant bits of pixels in an image or by modifying phases in an audio file. Steganography provides a way to communicate covertly and anonymously, but detection is possible through statistical analysis or if the steganography algorithm is known. Steganography has various applications but is also used by criminals and terrorists seeking anonymity.
Steganography
This document provides an overview of steganography, including definitions, differences from cryptography, common methods, types (image, text, audio), examples, uses, and challenges. Steganography is defined as concealing a message within another medium/message so only the sender and receiver are aware of the hidden message. It hides the existence of communication, while cryptography aims to protect the contents of the message. Common steganography methods include pure steganography, secret key steganography, and public key steganography. Types involve hiding messages in bits of images, letters of text, or audio signals. Uses enable secret communication but challenges involve preventing detection of embedded data and maintaining quality.
Steganography presentation
Steganography is the art and science of hiding information by embedding messages within other harmless media so as not to arouse suspicion. It differs from cryptography in that the goal is to conceal the very existence of the message, not just its content. Common techniques include hiding data in the least significant bits of images, altering text formatting, and embedding signals in audio files like echoes. Detection methods involve looking for anomalies introduced by hidden data or disabling embedded data through compression or filtering. Steganography has applications in secure communication, copyright protection, and covert messaging.
IMAGE STEGANOGRAPHY JAVA PROJECT SYNOPSIS
This document describes a mini project on steganography submitted by four students to fulfill the requirements of a computer science degree. It includes a cover page, certificates from advisors and department heads, acknowledgements, a declaration page, and a table of contents. The project involves developing an application for hiding secret messages in digital images using the least significant bit steganography technique. It covers encoding a message into an image, decrypting the message from the stego-image, and a user manual for the application. The objective is to explore data hiding and extraction techniques for secure communication.
Image Steganography
Presentation of Dissertation we had on Image Steganography in MCA Study.
Presenters: Vikas Kantiya and Hushen Savani
SEMINAR ON staganography
The document summarizes a seminar presentation on steganography. It discusses the history of steganography from ancient Greece to modern digital techniques. It describes how steganography differs from cryptography in hiding information rather than encrypting it. The document outlines common steganography techniques like least significant bit insertion and the injection method. It provides examples of steganography applications for both legitimate uses like digital watermarking as well as illegitimate uses like corporate espionage. The presentation concludes that steganography can effectively hide sensitive information while cryptography provides additional security through encryption.
Steganography
Steganography is the art and science of hiding messages within other carriers or cover files so that the existence of the message is concealed. Some common carriers used for steganography include text, images, audio, and video files. The document discusses the history of steganography and how it differs from cryptography and digital watermarking. It also describes various techniques for hiding messages in digital files such as least significant bit insertion in images and modifying text files by capitalizing random letters.
Steganography in images
Steganography is the practice of hiding secret messages within other innocent-looking files like images, audio, or text. Digital images are often used because the human eye has limited ability to detect small color changes. Popular techniques for hiding messages in images include least significant bit insertion and masking/filtering. When combined with cryptography, steganography can provide a very secure covert communication channel, though there are always tradeoffs between capacity, detectability, and robustness of the hidden message.
Audio steganography
This document discusses audio steganography techniques for hiding secret messages in digital audio files. It describes methods such as LSB coding, phase coding, and parity coding that embed data by modifying low-level audio properties that the human ear cannot detect. These techniques exploit properties of the human auditory system to covertly embed messages. The document also covers applications of audio steganography and compares advantages like confidentiality with disadvantages like potential password leakage.
Steganography ppt
This document provides an overview of steganography through:
1) Defining steganography and distinguishing it from cryptography by explaining how steganography aims to hide messages within innocent-looking carriers so the message's existence remains concealed.
2) Tracing the evolution of steganography from ancient techniques like invisible ink to modern digital methods.
3) Explaining how steganography embeds messages in carriers like text, images, audio and video and provides an example of hiding text in the least significant bits of image pixel values.
4) Detailing the steps to hide an image using steganography software.
Image Steganography using LSB
This document discusses steganography and image steganography techniques. It defines steganography as hiding information within other information to avoid detection. Image steganography is described as hiding data in digital images using techniques like least significant bit encoding. The document outlines the LSB algorithm, which replaces the least significant bits of image pixel values with bits of the hidden message. Examples are given to illustrate how short messages can be concealed in an image using this method.
Steganography
Steganography is the art and science of hiding communication. It works by embedding messages within other files like images, audio, or video in a way that is imperceptible or unintelligible without special software. Digital steganography techniques include hiding messages in the lowest bits of noisy files or exploiting redundancies in instruction sets. Detection of steganography, called steganalysis, works by comparing files to known originals or looking for artifacts and signatures of known steganography applications through hashing files.
Image Steganography using MATLAB
Project presentation on Image Steganography using MATLAB. Project under Digital Design, Signals and Systems and Communication System.
Tool Used - MATLAB
Steganography
The document discusses image steganography techniques. It begins by defining steganography as concealed writing and distinguishing it from cryptography. It then describes the basic process of embedding a secret message into a cover image to produce a stego-image. Different embedding algorithms are presented, including Least Significant Bit substitution and LSB with randomization. Histograms are used to analyze the differences between cover and stego-images. The document concludes by discussing attackers and techniques to improve robustness, such as LSB matching and Mielikainen's improved LSB matching method.
Steganography and its techniques
The presentation gives a brief overview and history about steganography and discusses the various types and techniques of steganography.
The types of steganography included are:
Text
Image
Audio
Image steganography techniques
Steganography is the technique of hiding the fact that communication is taking place,by hiding data in other data. Many different carrier file formats such as image, audio, video, DNA etc can be used, but digital images
are the most popular because of their frequency on the Internet. For hiding secret information in images, there exist a large variety of steganographic techniques. In this paper different steganographic techniques are described.
Image Steganography Techniques
Steganography is the technique of hiding the fact that communication is taking place,
by hiding data in other data. Many different carrier file formats can be used, but digital images
are the most popular because of their frequency on the Internet. For hiding secret information in
images, there exist a large variety of steganographic techniques. Steganalysis, the detection of this
hidden information, is an inherently difficult problem.In this paper,I am going to cover different
steganographic techniques researched by different researchers.
Keywords — Cryptography, Steganography, LSB, Hash-LSB, RSA Encryption –Decryption
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Stegnography
A PPT on Stegnography,
It describes the security of information via images by encrypting and decrypting it with the document.
Uses of different models and diagrams.
Steganography - The art of hiding data
This document provides an overview of steganography, including:
1) Steganography is the art of hiding information in plain sight so that the very existence of a hidden message is concealed. It works by embedding messages within images, audio, or other files.
2) Modern uses include digital watermarking to identify ownership, hiding sensitive files, and illegitimate uses like corporate espionage, terrorism, and child pornography.
3) Techniques include least significant bit insertion to replace bits in files, injection to directly embed messages, and generating new files from scratch. Detection methods like steganalysis aim to discover hidden information.
Steganography
This document provides an overview of steganography. It discusses how steganography hides messages within carriers so that the message is concealed. The document then discusses the history of steganography dating back to ancient Greece. It also discusses modern uses of steganography during the Cold War and by terrorist groups. The document outlines the objectives of the study which are to provide security during message transmission. It then discusses steganography techniques like LSB substitution and how LSB works to embed messages in images. Snapshots of the designed steganography application are provided along with results discussing the efficiency of the LSB algorithm used. The document concludes by discussing future work to improve the technique.
About Steganography
Steganography is the process of hiding secret information within ordinary media so that the very existence of the message is concealed. It works by embedding messages within images, videos, or audio files. Various techniques exist such as least significant bit insertion and algorithms/transformations. Tools allow hiding data in file formats like JPEG, PNG, and MP4. Detection methods include visual analysis and statistical steganalysis to analyze for subtle changes from hidden data. Steganography has uses for covert communication but also intellectual property and digital rights management.
Image Steganography Project Report
The document is a student project report on image steganography. It discusses using the least significant bit (LSB) method to hide information in digital images. The summary is:
1. It introduces steganography and LSB methods for hiding data in digital images by replacing the least significant bits of pixels.
2. Code is presented to embed a hidden message in an image by modifying pixels' LSBs and decoding the message from the stego image.
3. The report evaluates LSB steganography's advantages for covert communication but notes room for improving embedding capacity while maintaining secrecy.
steganography
Steganography is the art of hiding secret messages within other non-secret text, images, or other files. It works by embedding messages into the redundant or insignificant parts of cover files, like images or audio files. Modern steganography techniques hide data by making subtle alterations to things like the least significant bits of pixels in an image or by modifying phases in an audio file. Steganography provides a way to communicate covertly and anonymously, but detection is possible through statistical analysis or if the steganography algorithm is known. Steganography has various applications but is also used by criminals and terrorists seeking anonymity.
Steganography
This document provides an overview of steganography, including definitions, differences from cryptography, common methods, types (image, text, audio), examples, uses, and challenges. Steganography is defined as concealing a message within another medium/message so only the sender and receiver are aware of the hidden message. It hides the existence of communication, while cryptography aims to protect the contents of the message. Common steganography methods include pure steganography, secret key steganography, and public key steganography. Types involve hiding messages in bits of images, letters of text, or audio signals. Uses enable secret communication but challenges involve preventing detection of embedded data and maintaining quality.
Steganography presentation
Steganography is the art and science of hiding information by embedding messages within other harmless media so as not to arouse suspicion. It differs from cryptography in that the goal is to conceal the very existence of the message, not just its content. Common techniques include hiding data in the least significant bits of images, altering text formatting, and embedding signals in audio files like echoes. Detection methods involve looking for anomalies introduced by hidden data or disabling embedded data through compression or filtering. Steganography has applications in secure communication, copyright protection, and covert messaging.
IMAGE STEGANOGRAPHY JAVA PROJECT SYNOPSIS
This document describes a mini project on steganography submitted by four students to fulfill the requirements of a computer science degree. It includes a cover page, certificates from advisors and department heads, acknowledgements, a declaration page, and a table of contents. The project involves developing an application for hiding secret messages in digital images using the least significant bit steganography technique. It covers encoding a message into an image, decrypting the message from the stego-image, and a user manual for the application. The objective is to explore data hiding and extraction techniques for secure communication.
Image Steganography
Presentation of Dissertation we had on Image Steganography in MCA Study.
Presenters: Vikas Kantiya and Hushen Savani
SEMINAR ON staganography
The document summarizes a seminar presentation on steganography. It discusses the history of steganography from ancient Greece to modern digital techniques. It describes how steganography differs from cryptography in hiding information rather than encrypting it. The document outlines common steganography techniques like least significant bit insertion and the injection method. It provides examples of steganography applications for both legitimate uses like digital watermarking as well as illegitimate uses like corporate espionage. The presentation concludes that steganography can effectively hide sensitive information while cryptography provides additional security through encryption.
Steganography
Steganography is the art and science of hiding messages within other carriers or cover files so that the existence of the message is concealed. Some common carriers used for steganography include text, images, audio, and video files. The document discusses the history of steganography and how it differs from cryptography and digital watermarking. It also describes various techniques for hiding messages in digital files such as least significant bit insertion in images and modifying text files by capitalizing random letters.
Steganography in images
Steganography is the practice of hiding secret messages within other innocent-looking files like images, audio, or text. Digital images are often used because the human eye has limited ability to detect small color changes. Popular techniques for hiding messages in images include least significant bit insertion and masking/filtering. When combined with cryptography, steganography can provide a very secure covert communication channel, though there are always tradeoffs between capacity, detectability, and robustness of the hidden message.
Audio steganography
This document discusses audio steganography techniques for hiding secret messages in digital audio files. It describes methods such as LSB coding, phase coding, and parity coding that embed data by modifying low-level audio properties that the human ear cannot detect. These techniques exploit properties of the human auditory system to covertly embed messages. The document also covers applications of audio steganography and compares advantages like confidentiality with disadvantages like potential password leakage.
Steganography ppt
This document provides an overview of steganography through:
1) Defining steganography and distinguishing it from cryptography by explaining how steganography aims to hide messages within innocent-looking carriers so the message's existence remains concealed.
2) Tracing the evolution of steganography from ancient techniques like invisible ink to modern digital methods.
3) Explaining how steganography embeds messages in carriers like text, images, audio and video and provides an example of hiding text in the least significant bits of image pixel values.
4) Detailing the steps to hide an image using steganography software.
Image Steganography using LSB
This document discusses steganography and image steganography techniques. It defines steganography as hiding information within other information to avoid detection. Image steganography is described as hiding data in digital images using techniques like least significant bit encoding. The document outlines the LSB algorithm, which replaces the least significant bits of image pixel values with bits of the hidden message. Examples are given to illustrate how short messages can be concealed in an image using this method.
Steganography
Steganography is the art and science of hiding communication. It works by embedding messages within other files like images, audio, or video in a way that is imperceptible or unintelligible without special software. Digital steganography techniques include hiding messages in the lowest bits of noisy files or exploiting redundancies in instruction sets. Detection of steganography, called steganalysis, works by comparing files to known originals or looking for artifacts and signatures of known steganography applications through hashing files.
Image Steganography using MATLAB
Project presentation on Image Steganography using MATLAB. Project under Digital Design, Signals and Systems and Communication System.
Tool Used - MATLAB
Steganography
The document discusses image steganography techniques. It begins by defining steganography as concealed writing and distinguishing it from cryptography. It then describes the basic process of embedding a secret message into a cover image to produce a stego-image. Different embedding algorithms are presented, including Least Significant Bit substitution and LSB with randomization. Histograms are used to analyze the differences between cover and stego-images. The document concludes by discussing attackers and techniques to improve robustness, such as LSB matching and Mielikainen's improved LSB matching method.
Steganography and its techniques
The presentation gives a brief overview and history about steganography and discusses the various types and techniques of steganography.
The types of steganography included are:
Text
Image
Audio
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are the most popular because of their frequency on the Internet. For hiding secret information in
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Steganography is going to gain its importance due to the exponential growth and secret communication of potential computer users over the internet [5]. It can also be defined as the study of invisible communication that usually deals with the ways of hiding the existence of the communicated message. Generally data embedding is achieved in communication, image, text, voice or multimedia content for copyright, military communication, authentication and many other purposes [2]. In image Steganography, secret communication is achieved to embed a message into cover image (used as the carrier to embed message into) and generate a stego- image (generated image which is carrying a hidden message)[1]. In this paper we have critically analyzed various steganographic techniques and also have covered steganography overview its major types, classification, applications [3]. KEYWORDS: STEGANOGRAPHY, STEGO IMAGE, COVER IMAGE, LSB
Color image steganography in YCbCr space
Steganography is a best method for in secret communicating information during the transference of data. Images are an appropriate method that used in steganography can be used to protection the simple bits and pieces. Several systems, this one as color scale images steganography and grayscale images steganography, are used on color and store data in different techniques. These color images can have very big amounts of secret data, by using three main color modules. The different color modules, such as HSV-(hue, saturation, and value), RGB-(red, green, and blue), YCbCr-(luminance and chrominance), YUV, YIQ, etc. This paper uses unusual module to hide data: an adaptive procedure that can increase security ranks when hiding a top secret binary image in a RGB color image, which we implement the steganography in the YCbCr module space. We performed Exclusive-OR (XOR) procedures between the binary image and the RGB color image in the YCBCR module space. The converted byte stored in the 8-bit LSB is not the actual bytes; relatively, it is obtained by translation to another module space and applies the XOR procedure. This technique is practical to different groups of images. Moreover, we see that the adaptive technique ensures good results as the peak signal to noise ratio (PSNR) and stands for mean square error (MSE) are good. When the technique is compared with our previous works and other existing techniques, it is shown to be the best in both error and message capability. This technique is easy to model and simple to use and provides perfect security with unauthorized.
RANDOMIZED STEGANOGRAPHY IN SKIN TONE IMAGES
Steganography is the technique of hiding a confidential message in an ordinary message and the extraction
of that secret message at its destination. Different carrier file formats can be used in steganography.
Among these carrier file formats, digital images are the most popular. For this work, digital images are
used. Here steganography is done on the skin portion of an image. First skin portion of an image is
detected. Random pixels are selected from that detected region using a pseudo-random number generator.
The bits of the secret message will be embedded on the LSB of these random pixels. An analysis is done to
check the efficiency and robustness of the proposed method. The aim of this work is to show that
steganography done using random pixel selection is less prone to outside attacks.
RANDOMIZED STEGANOGRAPHY IN SKIN TONE IMAGES
Steganography is the technique of hiding a confidential message in an ordinary message and the extraction of that secret message at its destination. Different carrier file formats can be used in steganography. Among these carrier file formats, digital images are the most popular. For this work, digital images are used. Here steganography is done on the skin portion of an image. First skin portion of an image is detected. Random pixels are selected from that detected region using a pseudo-random number generator. The bits of the secret message will be embedded on the LSB of these random pixels. An analysis is done to check the efficiency and robustness of the proposed method. The aim of this work is to show that steganography done using random pixel selection is less prone to outside attacks.
RANDOMIZED STEGANOGRAPHY IN SKIN TONE IMAGES
Steganography is the technique of hiding a confidential message in an ordinary message and the extraction
of that secret message at its destination. Different carrier file formats can be used in steganography.
Among these carrier file formats, digital images are the most popular. For this work, digital images are
used. Here steganography is done on the skin portion of an image. First skin portion of an image is
detected. Random pixels are selected from that detected region using a pseudo-random number generator.
The bits of the secret message will be embedded on the LSB of these random pixels. An analysis is done to
check the efficiency and robustness of the proposed method. The aim of this work is to show that
steganography done using random pixel selection is less prone to outside attacks.
A SECURE COLOR IMAGE STEGANOGRAPHY IN TRANSFORM DOMAIN
Steganography is the art and science of covert communication. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide both image and key in color cover image using Discrete Wavelet Transform (DWT) and Integer Wavelet Transform (IWT). There is no visual difference between the stego image and the cover image. The extracted image is also similar to the secret image. This is proved by the high PSNR (Peak Signal to Noise Ratio), value for both stego and extracted secret image. The results are compared with the results of similar techniques and it is found that the proposed technique is simple and gives better PSNR values than others.
A SECURE COLOR IMAGE STEGANOGRAPHY IN TRANSFORM DOMAIN
Steganography is the art and science of covert communication. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide both image and key in color cover image using Discrete Wavelet Transform (DWT) and Integer Wavelet Transform (IWT). There is no visual difference between the stego image and the cover image. The extracted image is also similar to the secret image. This is proved by the high PSNR (Peak Signal to Noise Ratio), value for both stego and extracted secret image. The results are compared with the results of similar techniques and it is found that the proposed technique is simple and gives better PSNR values than others.
High Security Cryptographic Technique Using Steganography and Chaotic Image E...
This document summarizes a proposed cryptographic technique that combines steganography and chaotic image encryption to provide high security. Steganography is used to hide a message within a cover image by embedding it in the least significant bits of pixel values without affecting image quality. The resulting stego-image is then encrypted using triple-key chaotic image encryption based on the logistic map, making the encrypted data highly sensitive to changes in the initial encryption keys. The technique provides four layers of security to securely transmit hidden messages within digital images.
akashreport
The document discusses image steganography and various related concepts. It introduces image steganography as hiding secret information in a cover image. Key points covered include:
- Huffman coding is used to encode the secret image before embedding. It assigns binary codes to image intensity values.
- Discrete wavelet transform (DWT) is applied to the cover image. The secret message is embedded in the high frequency DWT coefficients while preserving the low frequency coefficients to maintain image quality.
- Inverse DWT is applied to produce a stego-image containing the hidden secret image. Haar DWT is used in the described approach.
Digital image compression techniques
This document discusses digital image compression techniques. It begins by defining digital images and the need for compression due to the large size of digital images. It then describes the three main types of redundancy in digital images that compression techniques aim to remove: coding redundancy, interpixel redundancy, and psychovisual redundancy. The document outlines different lossless and lossy compression techniques and how they work to remove these different types of redundancies in order to reduce the size of digital images.
Digital image compression techniques
Abstract
In today’s world of electronic revolution, digital images play an important role in consumer electronics. The need for storing images grows day to day. Compression of digital images plays an important role in storing the images. Due to compression the memory occupied by the images gets reduced and so that we can store more images in the available memory space. Also compression results in encoding of images which itself offer a security on transaction. This paper deals with a clear note on various aspects regarding compression and various compression techniques used and their implementation.
Keywords: digital image, compression, data redundancy, compression techniques.
Reference-free differential histogram-correlative detection of steganography:...
Recent research has demonstrated the effectiveness of utilizing neural networks for detect tampering in images. However, because accessing a database is complex, which is needed in the classification process to detect tampering, reference-free steganalysis attracted attention. In recent work, an approach for least significant bit (LSB) steganalysis has been presented based on analyzing the derivatives of the histogram correlation. In this paper, we further examine this strategy for other steganographic methods. Detecting image tampering in the spatial domain, such as image steganography. It is found that the above approach could be applied successfully to other kinds of steganography with different orders of histogram-correlation derivatives. Also, the limits of the ratio stego-image to cover are considered, where very small ratios can escape this detection method unless modified.
A NOVEL IMAGE STEGANOGRAPHY APPROACH USING MULTI-LAYERS DCT FEATURES BASED ON...
Steganography is the science of hidden data in the cover image without any updating of the cover image.
The recent research of the steganography is significantly used to hide large amount of information within
an image and/or audio files. This paper proposed a new novel approach for hiding the data of secret image
using Discrete Cosine Transform (DCT) features based on linear Support Vector Machine (SVM)
classifier. The DCT features are used to decrease the image redundant information. Moreover, DCT is
used to embed the secrete message based on the least significant bits of the RGB. Each bit in the cover
image is changed only to the extent that is not seen by the eyes of human. The SVM used as a classifier to
speed up the hiding process via the DCT features. The proposed method is implemented and the results
show significant improvements. In addition, the performance analysis is calculated based on the
parameters MSE, PSNR, NC, processing time, capacity, and robustness.
HYBRIDIZATION OF DCT BASED STEGANOGRAPHY AND RANDOM GRIDS
With the increasing popularity of information technology in communication network, security has become an inseparable but vital issue for providing for confidentiality, data security, entity authentication and data origin authentication. Steganography is the scheme of hiding data into a cover media to provide confidentiality and secrecy without risking suspicion of an intruder. Visual cryptography is a new technique which provides information security using simple algorithm unlike the complex, computationally intensive algorithms used in other techniques like traditional cryptography. This technique allows visual information to be encrypted in such a way that their decryption can be performed by the Human Visual System (HVS), without any complex cryptographic algorithms. To provide a better secured system that ensures high data capacity and information security, a multilevel security system can be thought for which can be built by incorporating the principles of steganography and visual cryptography.
HYBRIDIZATION OF DCT BASED STEGANOGRAPHY AND RANDOM GRIDS
The document discusses a hybrid approach to steganography and visual cryptography for improved data security. It proposes combining principles of steganography, which hides data in a cover media, and visual cryptography, which encrypts images in a way that can be decrypted by human vision without algorithms. Specifically, it describes generating two random grids from a secret image that reveal the image when overlaid but hide it individually. The random grids are created by inverting or substituting pixels based on the secret image. This hybrid approach aims to provide stronger security than either technique alone by incorporating advantages of both.
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A SECURE COLOR IMAGE STEGANOGRAPHY IN TRANSFORM DOMAIN
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STEGANOGRAPHY PRESENTATION SLIDES
- 1. Project Guide: Dr. Jyoti Bharti Project Members: Lovely Mandal Vriti Mathur Dipesh Agrawal Ankur Malik
- 2. Abstract This project introduces a new methodology for hiding a text data into an rgb image. The proposed technique can encode any color image files in order to protect confidential text data from unauthorized access. It can be applied to a very small images (24 × 24) as well as large images (1024 × 1024). We use Image quality parameters: Peak Signal to Noise Ratio, Mean Square Error and Entropy. This method comprises of three steps: one for scanning the image, second for message hiding and third for decrypting the message from the image.
- 3. Steganography is the art of hiding a message or data in the form of text, image or multimedia into an image such that it can’t be detectable by naked eyes. Q. How it is different from Cryptography? In cryptography, the original message is converted into meaningless text, which can draw suspicion. Compared to this, Steganography is more secure, as the very existence of the message embedded in the image is concealed. What is Steganography?
- 4. Payload: Original message is called payload. Carrier Image: The image in which the message is embedded is called Carrier Image. Stego-image: The image formed after hiding the payload into Carrier Image is called Stego-image. Encryption technique or hiding technique: The methodology used to hide the message into the image is called encryption technique. Steganographic Terms
- 5. Scanning Technique: Processing the image such that each pixel of the image is traversed once is called Scanning Technique. Decryption: The retrieval of original message from the Stego-image is called Decryption and the technique used is known as Decryption technique.
- 6. The method comprises of three steps: 1. Scanning 2. Encryption 3. Decryption Proposed Work
- 7. Consists of 2 traversals: 1. Spiral Traversal 2. Snake Traversal Scanning
- 8. Image is divided into blocks of 50 X 50 pixels. Blocks are traversed by Snake traversal. And within a block, pixels are traversed by Spiral traversal.
- 9. Carrier image is divided into red, green and blue plane. Encryption
- 10. we take another plane called Auxiliary matrix, and set each of its values to 0.
- 11. Take message from user and convert to ascii
- 12. Traverse red plane with Scanning technique to search for pixel intensity equal to that of ascii value. If found ,then convert the corresponding LSB of blue plane to 1 and at corresponding position of auxiliary matrix write index of the letter.
- 13. traverse auxiliary matrix with scanning technique and produce a random order of indices. convert indices into binary.
- 14. Store binary to the boundary values of LSB of green plane.
- 15. Merge all the planes to get the Stego-image.
- 16. Decryption Divide Stego-image in red, green and blue planes. LSB of blue plane is extracted. LSB of green plane is extracted.
- 17. LSB of blue plane traversed using Scanning technique. If value is found 1 then corresponding value in red plane is taken. Generates a random order of intensity value list. 69 80 76 72
- 18. Traverse boundary of LSB of green plane, 4 pixels at a time. 0001= 1 0010= 2 0100= 4 0011= 3 Extract 4 bits at a time and convert it into decimal. Generate random order of decimal digits. These digits are indices.
- 19. Arrange random intensity values extracted earlier according to the order of extracted indices. 69 80 76 72 72 69 76 80 Convert ASCII values into charactersH E L P This is the decrypted message
- 20. Results Original image Histogram of Original Image Histogram of Stego-image Stego-image PSNR MSE Entropy
- 21. This technique results in less modification of bits resulting in less randomness in the image. The image quality metrics i.e. higher Peak Signal to Noise Ratio (PSNR) and lower Mean Square errors itself prove that the proposed technique has good quality of the Stego-image. Conclusion