Steganography
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This document provides an overview of steganography, the practice of hiding secret messages within other information. It defines steganography and differentiates it from cryptography. Various digital approaches to steganography are described, such as hiding messages in the least significant bits of images or using masking and filtering techniques. Reasons for using digital images in steganography include their widespread use and limited human perception of small color changes. The document outlines methods for encoding and decoding hidden messages in digital images and notes best practices for cover images.
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Info hiding
Steganography is the art of hiding information in plain sight. It differs from cryptography which only encrypts messages to hide their meaning. Common steganography techniques include least significant bit substitution, discrete cosine transform, and discrete wavelet transform which hide data in images by altering pixel values. These techniques aim to conceal the very existence of hidden messages within digital files like images, audio, and text. Watermarking also embeds hidden signatures but aims to prove ownership rather than full concealment like steganography. Modern steganography tools take advantage of digital file formats to covertly communicate secret messages.
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
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.
Art of Steganography
Steganography is the art of hiding secret messages within other cover messages. It works by embedding the secret message in a way that is imperceptible to anyone except the sender and recipient. Historically, secret messages were hidden on messengers' heads or in invisible inks or wax tablets. Steganography differs from cryptography in that it conceals the existence of the message rather than scrambling its contents. Common steganography techniques include least significant bit insertion into images, text, audio, and other file types. Steganalysis aims to detect the presence of hidden messages through statistical analysis, file properties, or signatures of steganography tools. Manual inspection with a hex editor can also reveal clues that steganography was used
Image steganography and cryptography
Steganography is the art and science of hiding data within other data. It works by embedding secret messages within images, audio files or other cover objects. Unlike cryptography, which encrypts messages to hide their meaning, steganography conceals the very existence of the message. Some key points about steganography include its Greek origins meaning "covered writing", the use of techniques like least significant bit insertion to hide data in image files, and its applications for copyright protection and transporting secret documents.
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.
A Steganography LSB technique for hiding Image within Image Using blowfish En...
Steganography refers to information or a file that has been hidden inside a digital image, video
or audio file. There are different carrier file formats can be used such as Text Steganography, Image
Steganography, Audio/Video Steganography, but Image Steganography are the most popular because of their
frequency on the Internet. It is the first common methods used for hiding the information in the cover image.
The Least Significant Bit (LSB) steganography is one such technique in which least significant bit of the image
is replaced with data bit. steganographic algorithm for 8bit (gray scale) or 24 bit (colour image) is presented in
this paper. Sometime steganography will not cover the total security of secret massage. So an additional security
need to the secret massage. For this purpose blowfish encryption Algorithm is used in the proposed
Steganographic system This work is concerned with implementing Steganography for images, with an
improvement security and image quality.
The experimental result shows that the stego-image is visually indistinguishable from the original cover-image
It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is
always to cover up the very existence of the embedded data. and that the algorithm has a high capacity and a
good invisibility.
steganography and watermarking
In this presentation both the major domains of information security is explored.
1) Watermarking
2) Steganography
factors affecting them,applications,various techiniques are discussed in the presentation.
Recommended
Info hiding
Steganography is the art of hiding information in plain sight. It differs from cryptography which only encrypts messages to hide their meaning. Common steganography techniques include least significant bit substitution, discrete cosine transform, and discrete wavelet transform which hide data in images by altering pixel values. These techniques aim to conceal the very existence of hidden messages within digital files like images, audio, and text. Watermarking also embeds hidden signatures but aims to prove ownership rather than full concealment like steganography. Modern steganography tools take advantage of digital file formats to covertly communicate secret messages.
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
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.
Art of Steganography
Steganography is the art of hiding secret messages within other cover messages. It works by embedding the secret message in a way that is imperceptible to anyone except the sender and recipient. Historically, secret messages were hidden on messengers' heads or in invisible inks or wax tablets. Steganography differs from cryptography in that it conceals the existence of the message rather than scrambling its contents. Common steganography techniques include least significant bit insertion into images, text, audio, and other file types. Steganalysis aims to detect the presence of hidden messages through statistical analysis, file properties, or signatures of steganography tools. Manual inspection with a hex editor can also reveal clues that steganography was used
Image steganography and cryptography
Steganography is the art and science of hiding data within other data. It works by embedding secret messages within images, audio files or other cover objects. Unlike cryptography, which encrypts messages to hide their meaning, steganography conceals the very existence of the message. Some key points about steganography include its Greek origins meaning "covered writing", the use of techniques like least significant bit insertion to hide data in image files, and its applications for copyright protection and transporting secret documents.
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.
A Steganography LSB technique for hiding Image within Image Using blowfish En...
Steganography refers to information or a file that has been hidden inside a digital image, video
or audio file. There are different carrier file formats can be used such as Text Steganography, Image
Steganography, Audio/Video Steganography, but Image Steganography are the most popular because of their
frequency on the Internet. It is the first common methods used for hiding the information in the cover image.
The Least Significant Bit (LSB) steganography is one such technique in which least significant bit of the image
is replaced with data bit. steganographic algorithm for 8bit (gray scale) or 24 bit (colour image) is presented in
this paper. Sometime steganography will not cover the total security of secret massage. So an additional security
need to the secret massage. For this purpose blowfish encryption Algorithm is used in the proposed
Steganographic system This work is concerned with implementing Steganography for images, with an
improvement security and image quality.
The experimental result shows that the stego-image is visually indistinguishable from the original cover-image
It comes under the assumption that if the feature is visible, the point of attack is evident, thus the goal here is
always to cover up the very existence of the embedded data. and that the algorithm has a high capacity and a
good invisibility.
steganography and watermarking
In this presentation both the major domains of information security is explored.
1) Watermarking
2) Steganography
factors affecting them,applications,various techiniques are discussed in the presentation.
Project presentation - Steganographic Application of improved Genetic Shifti...
Steganography is a “science”, the method of hiding sent information. Unlike cryptography that deals with coding of information, the main idea of steganography is hiding the fact that the message exists. It embeds the secret message in cover media (image, audio, video, text, etc.). During the last years with the development of digital image processing, methods of digital steganography have gained a lot of popularity. The most popular steganography method is LSB (Last Significant Bit) replacement in the cover image. With extensive evolution of steganography, Steganalysis methods have a lot of importance. Steganalysis algorithms role is to detect a hidden secret message inside any media. The most notable Steganalysis algorithm is the RS method [1], which detects stegamesage by the statistical analysis applied on image pixels.
Shen Wang and others [2] created a new algorithm based on Genetic Shifting method (GSM). GSM performs manipulation and modification of the original image pixels. GSM algorithm keeps image statistic after inserting a hidden message and is hard to be detected by the RS analysis. The goal of the project is to demonstrate effectiveness and stability of GSM algorithm against RS analysis by using mathematical and statistical methods.
Image Steganography
Presentation of Dissertation we had on Image Steganography in MCA Study.
Presenters: Vikas Kantiya and Hushen Savani
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.
Steganography
This document summarizes a seminar on steganography presented by Deepak Kumar. It defines steganography as covert communication that hides the existence of a secret message, unlike cryptography which scrambles a message to make it unreadable. It discusses the evolution of steganography through invisible ink and microdots. It describes different types of steganography including messages in text, images, audio and video. It provides steps for hiding an image using steganography software and discusses advantages of covert communication and disadvantages of potential misuse.
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.
Implementation of Image Steganography in Image by using FMM nested with LSB S...
This document describes an implementation of image steganography that uses two techniques - Five Modulus Method (FMM) and Least Significant Bit (LSB) substitution - to hide a secret image within a cover image. The secret image is divided into two halves, with the upper half embedded using FMM and the lower half using LSB substitution. A private stego-key is also used during embedding to make detection of the secret image more difficult. The quality of the embedded and extracted images is evaluated using PSNR and MSE metrics, with the results showing good visual quality.
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.
Skin tone based steganography
This is the slides for the seminar on skin tone based steganography.
By GIRISH RAM M, TKM COLLEGE OF ENGINEERING KOLLAM
Image steganography
Image steganography is the art of hiding information within digital images. The document discusses various techniques for image steganography including LSB (least significant bit) and DCT (discrete cosine transform). LSB is a simple spatial domain technique that replaces the least significant bits of image pixels with bits of a secret message. DCT operates in the frequency domain by transforming image blocks and hiding data in the mid-frequency DCT coefficients. The document compares the advantages and disadvantages of these techniques, and discusses their applications for hiding private information or digital watermarking. Metrics for analyzing steganography systems like bit error rate, mean square error, and peak signal to noise ratio are also introduced.
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.
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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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.
Steganography and Steganalysis
This document discusses steganography and steganalysis. It begins with an introduction and overview of steganography techniques, including encryption, decryption, least significant bit insertion, and discrete cosine transformation. It then covers steganalysis approaches like statistical, structural, and visual analysis. The document outlines experiments conducted with least significant bit insertion to hide images in audio and image files. It analyzes the output for changes to statistical characteristics to detect hidden information. In conclusion, the document examines steganography and steganalysis as techniques for covertly hiding and detecting hidden data in digital files.
Steganography
Steganography (US Listeni/ˌstɛ.ɡʌnˈɔː.ɡrʌ.fi/, UK /ˌstɛɡ.ənˈɒɡ.rə.fi/) is the practice of concealing a file, message, image, or video within another file, message, image, or video. The word steganography combines the Greek words steganos (στεγανός), meaning "covered, concealed, or protected", and graphein (γράφειν) meaning "writing"
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: Hiding your secrets with PHP
Steganography consists of hiding a secret message within another message. Unlike cryptography, steganography tries to achieve security through obscurity, hiding the very presence of the message. Ideally, the steganographic message will look identically to a normal message.
This talk examines different techniques to hide messages using steganography from the perspective of a PHP developer. From more classical techniques such as hiding an image within another image using the least significant bits of each pixel, to more advanced ones like using TCP/IP packets.
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.
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 with RSA Algorithm
This document discusses image steganography and how it works. It defines steganography as hidden writing that embeds secret messages within images without visibly distorting the image. The document then outlines the key steps of how image steganography works: (1) selecting a file to hide and an image carrier file, (2) using steganography software to encrypt the file and embed it in the image by replacing least significant bits of pixels, (3) transmitting the encoded image, (4) the receiver uses the same software to decrypt and extract the hidden file. It also discusses using RSA encryption first before hiding the message in the image for added security.
Technical seminar ppt
This document proposes an adaptive LSB-OPAP based secret data hiding method for image steganography. It aims to enhance embedding capacity while maintaining imperceptibility and accuracy of extraction. The method uses two private keys - one to determine the number of LSBs substituted in different pixel value ranges, and another for digital signature verification. Secret data and signature are embedded adaptively into the cover image's LSBs using OPAP to adjust pixel values. Experimental results on Lena and Baboon images show payloads of up to 3.7 bits/pixel with PSNRs over 40dB, verifying the method is effective and efficient for secret communication and data protection applications.
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.
Stegnography
This document summarizes a technical seminar presentation on steganography. It introduces steganography as covert communication techniques that hide messages within other harmless media. It discusses the history of steganography dating back to ancient Greece. It then outlines the presentation sections on the problem statement, objectives, techniques like LSB algorithm, design phase with screenshots, results and discussion, and conclusion. The overall goal is securing data transmission by hiding messages in digital images.
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Steganography is a “science”, the method of hiding sent information. Unlike cryptography that deals with coding of information, the main idea of steganography is hiding the fact that the message exists. It embeds the secret message in cover media (image, audio, video, text, etc.). During the last years with the development of digital image processing, methods of digital steganography have gained a lot of popularity. The most popular steganography method is LSB (Last Significant Bit) replacement in the cover image. With extensive evolution of steganography, Steganalysis methods have a lot of importance. Steganalysis algorithms role is to detect a hidden secret message inside any media. The most notable Steganalysis algorithm is the RS method [1], which detects stegamesage by the statistical analysis applied on image pixels.
Shen Wang and others [2] created a new algorithm based on Genetic Shifting method (GSM). GSM performs manipulation and modification of the original image pixels. GSM algorithm keeps image statistic after inserting a hidden message and is hard to be detected by the RS analysis. The goal of the project is to demonstrate effectiveness and stability of GSM algorithm against RS analysis by using mathematical and statistical methods.
Image Steganography
Presentation of Dissertation we had on Image Steganography in MCA Study.
Presenters: Vikas Kantiya and Hushen Savani
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.
Steganography
This document summarizes a seminar on steganography presented by Deepak Kumar. It defines steganography as covert communication that hides the existence of a secret message, unlike cryptography which scrambles a message to make it unreadable. It discusses the evolution of steganography through invisible ink and microdots. It describes different types of steganography including messages in text, images, audio and video. It provides steps for hiding an image using steganography software and discusses advantages of covert communication and disadvantages of potential misuse.
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.
Implementation of Image Steganography in Image by using FMM nested with LSB S...
This document describes an implementation of image steganography that uses two techniques - Five Modulus Method (FMM) and Least Significant Bit (LSB) substitution - to hide a secret image within a cover image. The secret image is divided into two halves, with the upper half embedded using FMM and the lower half using LSB substitution. A private stego-key is also used during embedding to make detection of the secret image more difficult. The quality of the embedded and extracted images is evaluated using PSNR and MSE metrics, with the results showing good visual quality.
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.
Skin tone based steganography
This is the slides for the seminar on skin tone based steganography.
By GIRISH RAM M, TKM COLLEGE OF ENGINEERING KOLLAM
Image steganography
Image steganography is the art of hiding information within digital images. The document discusses various techniques for image steganography including LSB (least significant bit) and DCT (discrete cosine transform). LSB is a simple spatial domain technique that replaces the least significant bits of image pixels with bits of a secret message. DCT operates in the frequency domain by transforming image blocks and hiding data in the mid-frequency DCT coefficients. The document compares the advantages and disadvantages of these techniques, and discusses their applications for hiding private information or digital watermarking. Metrics for analyzing steganography systems like bit error rate, mean square error, and peak signal to noise ratio are also introduced.
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.
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.
STEGANOGRAPHY PRESENTATION SLIDES
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.
Steganography and Steganalysis
This document discusses steganography and steganalysis. It begins with an introduction and overview of steganography techniques, including encryption, decryption, least significant bit insertion, and discrete cosine transformation. It then covers steganalysis approaches like statistical, structural, and visual analysis. The document outlines experiments conducted with least significant bit insertion to hide images in audio and image files. It analyzes the output for changes to statistical characteristics to detect hidden information. In conclusion, the document examines steganography and steganalysis as techniques for covertly hiding and detecting hidden data in digital files.
Steganography
Steganography (US Listeni/ˌstɛ.ɡʌnˈɔː.ɡrʌ.fi/, UK /ˌstɛɡ.ənˈɒɡ.rə.fi/) is the practice of concealing a file, message, image, or video within another file, message, image, or video. The word steganography combines the Greek words steganos (στεγανός), meaning "covered, concealed, or protected", and graphein (γράφειν) meaning "writing"
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: Hiding your secrets with PHP
Steganography consists of hiding a secret message within another message. Unlike cryptography, steganography tries to achieve security through obscurity, hiding the very presence of the message. Ideally, the steganographic message will look identically to a normal message.
This talk examines different techniques to hide messages using steganography from the perspective of a PHP developer. From more classical techniques such as hiding an image within another image using the least significant bits of each pixel, to more advanced ones like using TCP/IP packets.
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.
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 with RSA Algorithm
This document discusses image steganography and how it works. It defines steganography as hidden writing that embeds secret messages within images without visibly distorting the image. The document then outlines the key steps of how image steganography works: (1) selecting a file to hide and an image carrier file, (2) using steganography software to encrypt the file and embed it in the image by replacing least significant bits of pixels, (3) transmitting the encoded image, (4) the receiver uses the same software to decrypt and extract the hidden file. It also discusses using RSA encryption first before hiding the message in the image for added security.
Technical seminar ppt
This document proposes an adaptive LSB-OPAP based secret data hiding method for image steganography. It aims to enhance embedding capacity while maintaining imperceptibility and accuracy of extraction. The method uses two private keys - one to determine the number of LSBs substituted in different pixel value ranges, and another for digital signature verification. Secret data and signature are embedded adaptively into the cover image's LSBs using OPAP to adjust pixel values. Experimental results on Lena and Baboon images show payloads of up to 3.7 bits/pixel with PSNRs over 40dB, verifying the method is effective and efficient for secret communication and data protection applications.
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Uses of different models and diagrams.
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This document summarizes a technical seminar presentation on steganography. It introduces steganography as covert communication techniques that hide messages within other harmless media. It discusses the history of steganography dating back to ancient Greece. It then outlines the presentation sections on the problem statement, objectives, techniques like LSB algorithm, design phase with screenshots, results and discussion, and conclusion. The overall goal is securing data transmission by hiding messages in digital images.
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Language Solutions for Business (LSB) is a professional translation and interpreting agency based in Milan and London that has been operating since 1996. It provides translations for global businesses across various industries such as business, legal, financial, and insurance. LSB works with expert translators across Europe, the Middle East, North America, and Asia to provide translations in over 45 languages. It offers services including document translation, interpreting, transcription, and proofreading. Key clients include multinational corporations and leading brands.
digital steganography
The document discusses steganography, which is the practice of hiding secret messages within other harmless messages or files. It provides an introduction and history of steganography, outlines the differences between steganography and cryptography, describes how to perform steganography using different media like images and audio, discusses digital watermarking techniques, and notes advantages and disadvantages of steganography.
Stegnography Systems for Securing DataFile in Image
Stegnography Systems for Securing DataFile in ImageInternational Journal of Engineering Inventions www.ijeijournal.com
The peer-reviewed International Journal of Engineering Inventions (IJEI) is started with a mission to encourage contribution to research in Science and Technology. Encourage and motivate researchers in challenging areas of Sciences and Technology.Lsb hiding using random approach for image watermarking
Abstract A digital image watermarking is the process of embedding an image with a secondary parameter called watermark, without deterioration in the quality of image to provide copyright protection means to provide protection for intellectual property from illegal copying. In this paper the method of nested digital image watermarking is used that means a watermark inside another watermark embedded into the cover image that is the main image. Here the Randomized LSB hiding algorithm is used for embedding one image into another as it has lesser complexity and the approach is more robust to the variations in the type of image. The blowfish algorithm is used to encrypt the watermark image before embedding into the cover image. The concept of encryption of watermark image before get embedded into the main image is used here to increase the security of the watermark image. This is because the research work is mainly focus on to get the more secured watermark by improving and enhancing the embedding capacity. Key Words: Digital image Watermarking, Randomized LSB, Blowfish, Copyright Protection
Watermarking Techniques
helping users to embed images in other images to maintain the integrity of the images being transferred. Watermarking is one technique through which we can accomplish this. Here we are using few algorithms, like Least Significant Bit ,Wavelet Image Watermarking , DCT Image watermarking and FFT Image watermarking. Our aim was to study different watermarking techniques and implement the one which is most resistant to all types of attack, scalar or geometric.
Stegnography
This document discusses different security techniques for hiding messages, including steganography, watermarking, and cryptography. It focuses on steganography, which hides messages within innocent-looking carriers or covers such as images, audio, or video so the message is concealed. Common steganography methods are least significant bit insertion, which hides data in the least significant bits of images, and masking and filtering data into image watermarks. Detection of hidden messages is called steganalysis, which uses statistical or visual analysis to find alterations caused by hidden data. The document also provides pseudocode for encoding and decoding algorithms.
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 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.
Steganography Project
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 the LSB algorithm and provides snapshots of its implementation. Finally, it discusses the results of using LSB steganography and concludes with possibilities for further enhancement.
Digitalwatermarking
Digital watermarking involves embedding a hidden signal or watermark into digital content like images, audio or video. It can be used for copyright protection, content authentication and metadata tagging. There are different types of watermarking including robust, fragile, visible, invisible, public and private watermarking. Common techniques include LSB watermarking, color separation and bit stream watermarking. Digital watermarking faces attacks from techniques like Stirmark and mosaic attacks but continues to be an effective method for protecting digital multimedia content and verifying its authenticity.
Digital Watermarking
Digital watermarking allows users to embed special patterns or data into digital content like images, audio, and video without changing the perceptual quality. Watermarking helps protect copyright ownership by embedding information directly into the media itself through small changes to the content data. Watermarks can be invisible, inseparable from the content after processing, and do not change the file size. Watermarks are classified based on human perception (visible or invisible), robustness (fragile, semi-fragile, or robust), and the type of document (text, image, audio, or video). Frequency domain techniques like discrete cosine transformation are commonly used to embed watermarks in images and videos.
Digital watermarking
Digital watermarking embeds invisible identifying information into digital content like audio, video, and images. This allows copyright owners to establish ownership and prevents unauthorized distribution even if the content is copied. There are different types of watermarks that can be embedded, including robust watermarks that are difficult to remove and fragile watermarks that are destroyed if the content is tampered with. However, watermarks are not impossible to attack, as image processing techniques can potentially disable or overwrite them.
Steganography Project
The document provides details about a project report on security extensibility in steganography. It discusses existing steganography techniques like the Least Significant Bit (LSB) algorithm and their drawbacks. It proposes developing a new Security Extensibility Algorithm (SRM algorithm) to provide better security for steganography compared to the LSB algorithm. The SRM algorithm would be used for steganography, cryptography, password authentication, and digital watermarking. The report outlines the system analysis, design, and testing of the proposed SRM algorithms to enhance security when embedding secret messages within digital files.
Digital watermarking
Digital watermarking is a technique for hiding copyright information in digital content such as images, audio and video. A digital watermark is imperceptibly embedded in the digital content and can be extracted or detected to prove ownership. There are two main types of watermarks - visible watermarks that can be seen and invisible watermarks that cannot be seen by the human eye. Watermarking techniques include spatial domain and frequency domain methods. The Fast Hadamard Transform is commonly used for digital image watermarking as it allows for faster processing times and robust watermarks. The watermarking process involves embedding, attacks on the watermarked content, and detection of the watermark.
Video watermarking
This document discusses video watermarking. It introduces video watermarking, its need for copyright protection, and key terminologies. It describes two types of video watermarking - visible and invisible. Invisible watermarking has three sub-types. The document outlines desired properties, applications, and provides a generic approach involving insertion, detection, and removal of watermarks. It also discusses types of attacks on watermarks and concludes with future directions.
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Stegnography Systems for Securing DataFile in Image
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Steganography
This document discusses the history and techniques of steganography. It begins by defining steganography as concealed writing and provides some historical examples of its use. It then describes how information can be hidden in various carriers like images, audio, and video. The document outlines several steganography techniques including LSB substitution and modifying DCT coefficients in images. It also discusses embedding data in IP datagrams and detecting steganography. In closing, it notes both benefits and risks of using steganography.
review.pptx
This document discusses digital steganography, which is a method of hiding secret messages within other digital data, such as images. It proposes using a new technique of image steganography that embeds encrypted data into the least significant bit of image pixel values using a hash function and RSA encryption for added security. The objectives are to develop a security tool to hide messages in digital media in a way that is not detectable by humans. It analyzes existing steganography methods and their disadvantages, then proposes a system using LSB substitution to replace pixel bit values with encrypted message bits to create a stego-image. The document outlines the modules, algorithms, advantages and future enhancements of the proposed digital steganography system.
Crypt-Steganography
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Steganography
This document discusses steganography, which is hiding data within other data. It defines steganography and differentiates it from cryptography. It provides examples of steganographic techniques like least significant bit insertion and digital watermarking. It also gives an example of using steganographic software to hide a text file within an image file in order to secretly communicate information.
Pertemuan 3 information hiding steganography
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This document discusses steganography, which is the practice of hiding secret messages within other harmless messages or files such as images. It describes steganography as hiding information in a way that is invisible and prevents detection. The document outlines the differences between steganography and cryptography, the evolution and types of steganography, and provides an example of using the least significant bit (LSB) algorithm to encode and decode text within an image file. Advantages of steganography include safeguarding data and use by intelligence agencies, while disadvantages include enabling terrorist activities and overhead to hide small amounts of information.
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This document provides an overview of visual cryptography, including its introduction, types, implementation methods, advantages, disadvantages, and applications. Visual cryptography allows visual information like pictures and text to be encrypted in a way that can be decrypted by the human visual system. It was pioneered in 1994 and works by splitting an image into shares such that stacking a sufficient number of shares reveals the original image. The document discusses various visual cryptography schemes and their properties.
Visual cryptography1
This document provides an overview of visual cryptography, including its introduction, types, implementation methods, advantages, disadvantages, and applications. Visual cryptography allows visual information like pictures and text to be encrypted in a way that can be decrypted by the human visual system. It was pioneered in 1994 and works by splitting an image into shares such that stacking a sufficient number of shares reveals the original image. The document discusses various visual cryptography schemes and their properties.
Implementation of Securing Confidential Data by Migrating Digital Watermarkin...
This paper introduces an algorithm of digitalwatermarking based on Discrete Wavelet Transform (DWT) and Steganography Based on Least Significant Bit(LSB). Steganography is a branch of information hiding. According to the characters of human vision, the information of digital watermarking which has been discrete wavelet transformed, is put into the high frequency band of the image which has been wavelet transformed. Then distills the digital watermarking with the help of the original image and the watermarking image. The steganography is the process of concealing one medium of information within another. There are lots of techniques available to achieve steganography like least significant bit insertion method and transform domain technique. This project implements the new method selecting a cover image and applying the watermarking for the copyright protection and embedding the secrete file into the watermarked image providing password with encryption method and sending to other system through the network.
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This document compares color image steganography techniques in the RGB and YCbCr color spaces. It summarizes previous related work and then describes a proposed method that hides two grayscale images in a color image. For RGB, the secret images are hidden in the green and blue color channels by matching blocks and storing the locations in encrypted keys. For YCbCr, one secret image is hidden in the Cb channel and the other in the Cr channel in the same way. The keys are extracted during retrieval and used to reconstruct the secret images from the color channels. Experimental results show YCbCr provides better steganography than RGB in terms of security and quality of extracted secret images.
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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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SteganographyonImage.ppt
Steganography is the practice of hiding secret messages within other non-secret files or messages. The document discusses different techniques for digital steganography, including least significant bit modifications to hide messages in image pixel values, as well as masking/filtering and transformations in frequency domains. Lossless image compression works best for cover images to embed secret messages stealthily. While steganography has legitimate uses, it can also enable covert or illegal communications if abused.
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Steganography is the practice of concealing a file, message, image, or video within another file, carrier image, or video. It can be used to hide messages in text, images, and audio files. Common techniques for images involve least significant bit insertion and masking/filtering. For audio, methods include low-bit encoding, phase coding, and echo data hiding. Steganalysis aims to detect hidden communications by looking for statistical changes in carrier files introduced during information hiding.
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This document provides an overview of steganography. It defines steganography as hiding information within seemingly innocuous carriers to conceal the existence of communication. The document discusses how steganography differs from and can be used to supplement cryptography. It outlines the evolution of steganography techniques over history from invisible inks to modern digital methods. Examples of different types of steganography like hiding messages in images, audio and video are provided. The document also explains the process of hiding an image using steganography software and defines steganalysis as detecting hidden messages.
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International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
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Steganography is the art of hiding information in plain sight, and in this tutorial, I'll show you how to use Steghide — a very simple command line tool to do just that. In addition, I'll go over a bit of conceptual background to help you understand what's going on behind the scenes. This is a tool that's simple, configurable, and only takes a few seconds to hide information in many file types.
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Steganography
- 2. OVERVIEW INTRODUCTION DIGITAL APPROCHES REASON FOR USING DIGITAL IMAGES EXAMPLES OF STEGNOGRAPHY IMAGE BASED TECHNIQUES LSB INSERTION MASKING AND FILTERING USES WATERMARKING VS STREGNOGRAPHY SUMMARY
- 3. INTRODUCTION Greek for “covered writing”. STEGANOS – “Covered” GRAPHIE – “Writing” “The art and science of writing hidden messages in such a way that no one apart from the intended recipient even knows that a message has been sent.”
- 4. Clandestine Communication Cryptography Scrambles the message into cipher Steganography Hides the message in unexpected places
- 5. Uncompressed Images Grayscale Bitmap images (bmp) 256 shades of intensity from black to white Can be obtained from color images Arranged into a 2-D matrix Messages are hidden in the least significant bits (lsb) Matrix values change slightly Interested in patterns that form messages
- 6. Compressed Images Grayscale jpeg images (jpg) Joint Photographic Experts Group (jpeg) Converts image to YCbCr colorspace Divides into 8x8 blocks Uses Discrete Cosine Transform (DCT) Obtain frequency coefficients Scaled by quantization to remove some frequencies High quality setting will not be noticed Huffman Coding Affects the images statistical properties
- 9. DIGITAL APPROACHES Today, it often exists within digital formats It makes use of seemingly innocent cover files such as text, audio, and image files The embedded message may be anything that can be encoded in binary
- 10. REASONS FOR USING DIGITAL IMAGES It is the most widely used medium being used today Takes advantage of our limited visual perception of colors This field is expected to continually grow as computer graphics power also grows Many programs are available to apply steganography
- 11. EXAMPLES Tattoos on shaved heads Wax-covered tablets Microdots – shrunken pictures Invisible Inks - milk, fruit juice, urine
- 12. IMAGE-BASED TECHNIQUES Least Significant Bit Insertion Masking and Filtering
- 13. LSB INSERTION Replaces least significant bits with the message to be encoded. Most popular technique when dealing with images. Simple, but susceptible to lossy compression.
- 14. Example A sample raster data for 3 pixels (9 bytes) may be: Inserting the binary value for A (10000001) changes 4 bits 00100111 11101000 11001000 00100110 11001000 11101000 11001001 00100111 11101011 00100111 11101001 11001000 00100111 11001000 11101001 11001000 00100111 11101011
- 15. LSB –Continued… Best to use a grayscale palette or one with gradual changes in shades. Otherwise, it is best to use images with “noisy areas” – areas with sample color variation and without large areas of solid color.
- 17. NEBULA PALETTE
- 18. “NOISY AREAS” - Example Renoir painting
- 20. MASKING & FILTERING Masks secret data over the original data by changing the luminance of particular areas. During masking, it embed the message within significant bits of the cover image. Not susceptible to lossy techniques because image manipulation does not affect the secret message.
- 21. MASKING & FILTERING - Uses Digital Watermarking – provides identification pertaining to the owner; i.e. license or copyright information. - Invisible vs Visible Fingerprinting – provides identification of the user; used to identify and track illegal use of content.
- 22. Visible Watermark - Example
- 23. UV Watermarking
- 24. Watermarking vs Steganography Goal of steganography Intruder cannot detect a message Primarily 1:1 communication Goal of watermarking Intruder cannot remove or replace the message Primarily 1:many communication
- 25. Digital Applications of Steganography Can be hidden in digital data MS Word (doc) Web pages (htm) Executables (exe) Sound files (mp3, wav, cda) Video files (mpeg, avi) Digital images (bmp, gif, jpg)
- 26. SUMMARY Steganography as a whole has existed in many forms throughout much of history. Lossless compression of images with a great deal of color variation work best as a cover image to embed a message. Steganography can be used as benefitial tool for privacy.
- 27. REFERENCES Wikipedia Exploring Steganography: Seeing the Unseen – N. Johnson & S. Jajodia www.jjtc.com/stegdoc/steg1995.html Information Hiding: Techniques for Steganography and Digital Watermarking” – S. Katzenbeisser, F. Petitcolas Digital Watermarking – H. Bergel, L. O’Gorman