Stegnography
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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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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.
PPT steganography
This document discusses steganography, which is hiding messages within seemingly harmless carriers or covers so that no one apart from the intended recipient knows a message has been sent. It provides examples of steganography in text, images, and audio, as well as methods used for each. These include techniques like least significant bit insertion and temporal sampling rates. The document also covers steganalysis, which aims to detect hidden communications by analyzing changes in the statistical properties of covers.
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.
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.
Stegnography final
Steganography is the art of hidden writing or covert communication. It hides the existence of a secret message within ordinary items like images, audio files, or video. The purpose is to avoid detection by a third party. Unlike cryptography, which only disguises the contents of a message, steganography disguises the message itself. Historically, messages were hidden on wax tablets, tattoos, or microdots. Modern techniques embed messages into the least significant bits of image pixel values, resulting in changes that are nearly imperceptible. Steganography has applications in law enforcement, military operations, and personal privacy.
Multi-Level audio steganography
This document provides an overview of multi-level audio steganography. It discusses steganography concepts and techniques such as least significant bit coding and parity coding. It then describes multi-level steganography, which involves hiding messages across three levels or layers for increased security. The document outlines three permutations for implementing multi-level steganography and evaluates them based on undetectability through PSNR graphs. It concludes that multi-level steganography can hide three secret messages within audio files while maintaining signal clarity and achieving a high level of security against detection.
Presentation On Steganography
Steganography 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 meaning "covered, concealed, or protected", and graphein meaning "writing".
The first recorded use of the term was in 1499 by Johannes Trithemius in his Steganographia, a treatise on cryptography and steganography, disguised as a book on magic. Generally, the hidden messages appear to be (or be part of) something else: images, articles, shopping lists, or some other cover text. For example, the hidden message may be in invisible ink between the visible lines of a private letter. Some implementations of steganography that lack a shared secret are forms of security through obscurity, whereas key-dependent steganographic schemes adhere to Kerckhoffs's principle.
The advantage of steganography over cryptography alone is that the intended secret message does not attract attention to itself as an object of scrutiny. Plainly visible encrypted messages—no matter how unbreakable—arouse interest, and may in themselves be incriminating in countries where encryption is illegal.Thus, whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned with concealing the fact that a secret message is being sent, as well as concealing the contents of the message.
Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol. Media files are ideal for steganographic transmission because of their large size. For example, a sender might start with an innocuous image file and adjust the color of every 100th pixel to correspond to a letter in the alphabet, a change so subtle that someone not specifically looking for it is unlikely to notice it.
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.
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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.
PPT steganography
This document discusses steganography, which is hiding messages within seemingly harmless carriers or covers so that no one apart from the intended recipient knows a message has been sent. It provides examples of steganography in text, images, and audio, as well as methods used for each. These include techniques like least significant bit insertion and temporal sampling rates. The document also covers steganalysis, which aims to detect hidden communications by analyzing changes in the statistical properties of covers.
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.
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.
Stegnography final
Steganography is the art of hidden writing or covert communication. It hides the existence of a secret message within ordinary items like images, audio files, or video. The purpose is to avoid detection by a third party. Unlike cryptography, which only disguises the contents of a message, steganography disguises the message itself. Historically, messages were hidden on wax tablets, tattoos, or microdots. Modern techniques embed messages into the least significant bits of image pixel values, resulting in changes that are nearly imperceptible. Steganography has applications in law enforcement, military operations, and personal privacy.
Multi-Level audio steganography
This document provides an overview of multi-level audio steganography. It discusses steganography concepts and techniques such as least significant bit coding and parity coding. It then describes multi-level steganography, which involves hiding messages across three levels or layers for increased security. The document outlines three permutations for implementing multi-level steganography and evaluates them based on undetectability through PSNR graphs. It concludes that multi-level steganography can hide three secret messages within audio files while maintaining signal clarity and achieving a high level of security against detection.
Presentation On Steganography
Steganography 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 meaning "covered, concealed, or protected", and graphein meaning "writing".
The first recorded use of the term was in 1499 by Johannes Trithemius in his Steganographia, a treatise on cryptography and steganography, disguised as a book on magic. Generally, the hidden messages appear to be (or be part of) something else: images, articles, shopping lists, or some other cover text. For example, the hidden message may be in invisible ink between the visible lines of a private letter. Some implementations of steganography that lack a shared secret are forms of security through obscurity, whereas key-dependent steganographic schemes adhere to Kerckhoffs's principle.
The advantage of steganography over cryptography alone is that the intended secret message does not attract attention to itself as an object of scrutiny. Plainly visible encrypted messages—no matter how unbreakable—arouse interest, and may in themselves be incriminating in countries where encryption is illegal.Thus, whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned with concealing the fact that a secret message is being sent, as well as concealing the contents of the message.
Steganography includes the concealment of information within computer files. In digital steganography, electronic communications may include steganographic coding inside of a transport layer, such as a document file, image file, program or protocol. Media files are ideal for steganographic transmission because of their large size. For example, a sender might start with an innocuous image file and adjust the color of every 100th pixel to correspond to a letter in the alphabet, a change so subtle that someone not specifically looking for it is unlikely to notice it.
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
The document discusses steganography, which is hiding messages within other files or signals in a way that is not detectable. It defines steganography as "the art of hiding messages in such a way that no one but the sender and the intended recipient knows about the very existence of the message." The document outlines different forms of steganography including hiding information in text, images, audio and video files. It also discusses some known uses of steganography such as economic espionage, terrorism, and child pornography.
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.
Stegnography
This document discusses steganography, which is the process of hiding a secret message within an ordinary message. It begins with a definition and brief history of steganography. It then explains how modern digital steganography works, encrypting data and hiding it within files like images, audio, and video by modifying file contents. The document lists several common file types used for steganography and some available steganography tools. It concludes with step-by-step instructions for using steganography to hide files within a JPEG image on a computer without using additional software.
Steganography ppt
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The concealed message is hidden in a way that prevents detection. It differs from cryptography, which encrypts a message to hide its meaning but not its existence. Modern steganography techniques include least significant bit insertion to hide messages in image files with minimal distortion. Detection of concealed messages is called steganalysis and involves visual or statistical analysis to reveal alterations caused by message embedding.
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 practice of hiding secret information within other files or messages. Digital steganography hides data in digital files like images, audio, and video. Common techniques include least significant bit encoding to hide messages in pixel data and alter audio files in imperceptible ways. Steganography aims for complete secrecy of hidden data, while related cryptography encrypts messages but reveals they contain secret information. Steganography has various applications but governments worry it could enable criminal plans to be hidden online. Detection methods continue advancing alongside new hiding techniques.
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 a method of hiding secret information within other information. It begins by providing background on the rise of the internet and the need for information security. It then explains steganography and how it differs from cryptography by not only encrypting messages but hiding their very existence. The document outlines various types of steganography, including techniques for hiding messages in text, audio, images, and video files. It notes some advantages and disadvantages of steganography and discusses the latest research on improving steganography detection.
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.
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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.
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This document discusses data hiding techniques such as steganography and watermarking. It begins with an introduction to data hiding and steganography, explaining that steganography embeds information in a medium in an imperceptible way. It then covers types of digital steganography like hiding messages in images, text, audio and video. Common techniques are discussed like least significant bit modification and network steganography. Applications include military/intelligence use and health care data hiding. Detection of hidden data (steganalysis) and problems with detecting steganography are also summarized.
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
The art of hiding messages, or data behind Pictures,
For Documentation and Downloads Visit
www.presentationslive.blogspot.com
Steganography
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. There are two main branches - steganography and watermarking. Steganography aims to hide the very existence of the message, while watermarking aims to protect copyrights and may be openly declared. Throughout history, various techniques have been used to hide secret messages, from wax-covered wood to microdots to modern digital methods like least significant bit insertion in image files. Modern steganography aims for security, robustness against attacks, and imperceptibility of the hidden message. It has allegedly been used by terrorists and intelligence services for covert communication. Detection methods like stegan
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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.
Steganography.
Yogesh Prajapati gave a presentation on steganography, which is the process of hiding a secret message within an ordinary message. He discussed how steganography works, its history including uses during World War II, different tools available, and common methods like hiding messages in images, audio, video or text files. Prajapati also covered attacks on steganography and limitations of existing tools, proposing an algorithm using Java that could hide large amounts of secret data in a carrier file with minimal size increase.
Steganography chandni verma(cse 4th year)
Steganography is the art of hiding secret messages within other harmless-looking files like images, audio, or video. It embeds data in the least significant bits of pixels in images or within the phase components of audio files, making the hidden messages undetectable without access to the steganographic algorithm and key. Modern steganography techniques include least significant bit insertion and masking/filtering data in image compression algorithms. Steganography differs from cryptography by concealing the existence of secret communication, rather than just scrambling its contents.
Cryptography and steganography
The document discusses combining cryptography and steganography to securely transmit secret messages. It proposes encrypting a secret image using DES encryption and hiding the encrypted image in the least significant bits of cover images. The algorithm and block diagrams for encryption, embedding, retrieval and decryption are described. Experimental results comparing embedding in the 1st-2nd vs 3rd-4th least significant bits are shown, with the former being less perceptible. The conclusion is that combining cryptography and steganography increases security, and the encrypted images can be accurately retrieved and decrypted.
Steganography
The document provides an overview of steganography, including its definition, history, techniques, applications, and future scope. It discusses different types of steganography such as text, image, and audio steganography. For image steganography, it describes techniques such as LSB insertion and compares image and transform domain methods. It also provides examples of steganography tools and their usage for confidential communication and data protection.
Steganography
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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The document discusses steganography, which is hiding messages within other files or signals in a way that is not detectable. It defines steganography as "the art of hiding messages in such a way that no one but the sender and the intended recipient knows about the very existence of the message." The document outlines different forms of steganography including hiding information in text, images, audio and video files. It also discusses some known uses of steganography such as economic espionage, terrorism, and child pornography.
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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.
Stegnography
This document discusses steganography, which is the process of hiding a secret message within an ordinary message. It begins with a definition and brief history of steganography. It then explains how modern digital steganography works, encrypting data and hiding it within files like images, audio, and video by modifying file contents. The document lists several common file types used for steganography and some available steganography tools. It concludes with step-by-step instructions for using steganography to hide files within a JPEG image on a computer without using additional software.
Steganography ppt
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. The concealed message is hidden in a way that prevents detection. It differs from cryptography, which encrypts a message to hide its meaning but not its existence. Modern steganography techniques include least significant bit insertion to hide messages in image files with minimal distortion. Detection of concealed messages is called steganalysis and involves visual or statistical analysis to reveal alterations caused by message embedding.
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 practice of hiding secret information within other files or messages. Digital steganography hides data in digital files like images, audio, and video. Common techniques include least significant bit encoding to hide messages in pixel data and alter audio files in imperceptible ways. Steganography aims for complete secrecy of hidden data, while related cryptography encrypts messages but reveals they contain secret information. Steganography has various applications but governments worry it could enable criminal plans to be hidden online. Detection methods continue advancing alongside new hiding techniques.
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 a method of hiding secret information within other information. It begins by providing background on the rise of the internet and the need for information security. It then explains steganography and how it differs from cryptography by not only encrypting messages but hiding their very existence. The document outlines various types of steganography, including techniques for hiding messages in text, audio, images, and video files. It notes some advantages and disadvantages of steganography and discusses the latest research on improving steganography detection.
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.
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.
Data hiding - Steganography
This document discusses data hiding techniques such as steganography and watermarking. It begins with an introduction to data hiding and steganography, explaining that steganography embeds information in a medium in an imperceptible way. It then covers types of digital steganography like hiding messages in images, text, audio and video. Common techniques are discussed like least significant bit modification and network steganography. Applications include military/intelligence use and health care data hiding. Detection of hidden data (steganalysis) and problems with detecting steganography are also summarized.
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
The art of hiding messages, or data behind Pictures,
For Documentation and Downloads Visit
www.presentationslive.blogspot.com
Steganography
Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. There are two main branches - steganography and watermarking. Steganography aims to hide the very existence of the message, while watermarking aims to protect copyrights and may be openly declared. Throughout history, various techniques have been used to hide secret messages, from wax-covered wood to microdots to modern digital methods like least significant bit insertion in image files. Modern steganography aims for security, robustness against attacks, and imperceptibility of the hidden message. It has allegedly been used by terrorists and intelligence services for covert communication. Detection methods like stegan
Technical seminar report
The document describes a technical seminar report on an adaptive LSB-OPAP based secret data hiding technique. It was submitted by Tejas.S, an undergraduate student of electronics and communication engineering at Amruta Institute of Engineering and Management Sciences, in partial fulfillment of the requirements for their bachelor's degree. The report discusses a new technique for embedding secret data into color or grayscale images using LSB substitution in an adaptive manner based on pixel intensity ranges. It aims to enhance embedding capacity and imperceptibility compared to traditional LSB techniques.
Steganography ProjectReport
This document discusses steganography techniques for hiding secret information in digital images. It begins with an introduction to steganography and its differences from cryptography. It then discusses various steganography techniques including least significant bit insertion, masking and filtering, and transform domain techniques. It also discusses using bitmap images for steganography and the popularity of formats like JPEG. The goal of the document is to provide an overview of digital image steganography techniques.
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.
Steganography.
Yogesh Prajapati gave a presentation on steganography, which is the process of hiding a secret message within an ordinary message. He discussed how steganography works, its history including uses during World War II, different tools available, and common methods like hiding messages in images, audio, video or text files. Prajapati also covered attacks on steganography and limitations of existing tools, proposing an algorithm using Java that could hide large amounts of secret data in a carrier file with minimal size increase.
Steganography chandni verma(cse 4th year)
Steganography is the art of hiding secret messages within other harmless-looking files like images, audio, or video. It embeds data in the least significant bits of pixels in images or within the phase components of audio files, making the hidden messages undetectable without access to the steganographic algorithm and key. Modern steganography techniques include least significant bit insertion and masking/filtering data in image compression algorithms. Steganography differs from cryptography by concealing the existence of secret communication, rather than just scrambling its contents.
Cryptography and steganography
The document discusses combining cryptography and steganography to securely transmit secret messages. It proposes encrypting a secret image using DES encryption and hiding the encrypted image in the least significant bits of cover images. The algorithm and block diagrams for encryption, embedding, retrieval and decryption are described. Experimental results comparing embedding in the 1st-2nd vs 3rd-4th least significant bits are shown, with the former being less perceptible. The conclusion is that combining cryptography and steganography increases security, and the encrypted images can be accurately retrieved and decrypted.
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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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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.
Data security using stegnography and quantum cryptography
The document proposes using a combination of steganography and quantum cryptography to securely transmit encrypted data. It begins by providing background on steganography, describing how it hides confidential information within cover files like images, and how it differs from encryption and digital watermarking. It then discusses related work improving steganography techniques. The proposed approach uses an advanced steganography algorithm (F5) to hide encrypted data within an image, making the secret information nearly impossible to detect. It also describes using quantum cryptography to securely generate and distribute the encryption key, providing virtually unbreakable security based on principles of quantum mechanics. The combination of steganography and quantum key distribution is argued to provide perfect security for transmitted data.
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.
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.
Pixel Matching from Stereo Images (Callan seminar)
This talk discusses a number of techniques for correspondence estimation between stereo image pairs, i.e. two images of the same scene taken from different positions. The problem is to identify pairs of pixels in the two images that are the projections of the same scene point. Although the human visual system performs this task with ease, developing algorithms for automatically computing correspondences is a challenging task. In particular, existing algorithms can fail in homogeneous areas, near depth discontinuities and occlusions or with a repetitive texture pattern.
The first part of this talk focuses on seed propagation-based approaches that are a special case of local methods based computing an iterative solution, where the solution is initialised using a sparse set of reliable matches (the seeds). I introduce a reliability measure used by the propagation technique for finding the correct correspondent of a pixel, providing robustness in the context of the above difficulties. This measure takes into account an unambiguity term, a continuity term and a colour consistency term. It has the advantage of taking into account information from the other candidates, and leads, according to our experimental evaluation, to better results when compared to other methods based on a correlation score alone.
In the second part of this talk I will present ongoing work in our group on stereo matching in urban environments. In particular we exploit the fact that images of such environments contain multiple planar elements. I will show how utilising this strong geometrical constraint allows us to automatically segment building facades in single images. Furthermore I show how this technique permits robust pixel matching in wide-baseline stereo pairs. Finally, I will discuss how we intend to apply this technique for the development of augmented reality applications.
A novel data embedding method using adaptive pixel
This document proposes a new data hiding method called adaptive pixel pair matching that provides better performance than existing methods like optimal pixel adjustment process and diamond encoding. It embeds secret data by searching for coordinate values in a neighborhood set of pixel pairs based on a message digit, and replacing the pixel pair with the coordinate. This allows lower distortion than diamond encoding and security against steganalysis attacks. The objective is to improve upon existing pixel pair matching methods for data hiding in digital images.
Image encryption
The document summarizes a block-based image transformation and encryption algorithm. It divides images into blocks that are rearranged to decrease correlation between pixels. The transformed image is then encrypted with Blowfish. Three cases using different block sizes were tested. Results showed that using smaller blocks decreased correlation and increased entropy, strengthening encryption. The technique enhances security by transforming before encrypting with Blowfish.
Reversible Data Hiding in Encrypted Image: A Review
Recently, more and more attention is paid to reversible data hiding (RDH) in encrypted
images, since it maintains the excellent property that the original cover can be losslessly recovered
after embedded data is extracted while protecting the image content’s confidentiality. All previous
methods embed data by reversibly vacating room from the encrypted images, which may be subject
to some errors on data extraction and/or image restoration. In this survey paper, we discuss about
various methods and algorithms which were used for reversible data hiding (RDH) in encrypted
image to make data hiding process effortless. We also use visual cryptographic approach for
encryption which helps to protect the image during transmission. The scheme is suitable for
authentication based application where collective acceptance and decision making plays an important
role. The main goal is to retrieve the original image with lossless process and minimum computation
during image encryption /decryption by using keyless approach.
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 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.
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.
Image Encryption in java ppt.
The document proposes a chaotic image encryption technique using Henon chaotic systems. It consists of two main steps: 1) Image fusion between the original image and a key image. 2) Encrypting the pixel values of the fused image using a Henon chaotic map. The technique aims to provide high security with less computational time compared to traditional encryption methods. Experimental results show the algorithm is sensitive to keys and resistant to brute force attacks. The technique can be used for applications like secure internet image transmission.
Image proceesing with matlab
This document provides an overview and examples of using MATLAB. It introduces MATLAB, describing its origins and applications in fields like aerospace, robotics, and more. It then covers various topics within MATLAB like image processing, reading and writing images, converting images to binary and grayscales, plotting functions, and using GUI tools. Examples of code are provided for tasks like reading images, filtering noise, and capturing video from a webcam. The document also lists some common file extensions used in MATLAB and describes serial communication.
Basics of Image Processing using MATLAB
The document provides an overview of basic image processing concepts and techniques using MATLAB, including:
- Reading and displaying images
- Performing operations on image matrices like dilation, erosion, and thresholding
- Segmenting images using global and local thresholding methods
- Identifying and labeling connected components
- Extracting properties of connected components using regionprops
- Performing tasks like edge detection and noise removal
Code examples and explanations are provided for key functions like imread, imshow, imdilate, imerode, im2bw, regionprops, and edge.
Image encryption and decryption
Encryption converts plaintext into ciphertext using an algorithm and key. Gaussian elimination with partial pivoting and row exchange is used to encrypt images by converting the image matrix to an upper triangular matrix and generating a decryption key. The encrypted image matrix and key can then be multiplied to recover the original image matrix and decrypt the image. This algorithm allows for faster encryption time while still producing robust encryption to prevent unauthorized access to images.
Real time image processing ppt
This document provides an overview of real-time image processing. It begins with introducing real-time image processing and how it differs from ordinary image processing by having deadlines and predictable response times. The document then discusses the requirements for a real-time image processing system including high resolution video input, low latency, and high processing performance. It also covers applications such as mobile robots and human-computer interaction. In the end, it provides definitions of real-time image processing in both the perceptual and signal processing senses.
Introduction to digital image processing
Introduction to digital image processing, image processing, digital image, analog image, formation of digital image, level of digital image processing, components of a digital image processing system, advantages of digital image processing, limitations of digital image processing, fields of digital image processing, ultrasound imaging, x-ray imaging, SEM, PET, TEM
Cryptography.ppt
This document provides an overview of cryptography. It defines cryptography as the science of securing messages from attacks. It discusses basic cryptography terms like plain text, cipher text, encryption, decryption, and keys. It describes symmetric key cryptography, where the same key is used for encryption and decryption, and asymmetric key cryptography, which uses different public and private keys. It also covers traditional cipher techniques like substitution and transposition ciphers. The document concludes by listing some applications of cryptography like e-commerce, secure data, and access control.
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Data security using stegnography and quantum cryptography
Data security using stegnography and quantum cryptography
Pixel Matching from Stereo Images (Callan seminar)
Pixel Matching from Stereo Images (Callan seminar)
A novel data embedding method using adaptive pixel
A novel data embedding method using adaptive pixel
Reversible Data Hiding in Encrypted Image: A Review
Reversible Data Hiding in Encrypted Image: A Review
Similar to Stegnography
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.
Text Embedded System using LSB Method
An important topic in the exchange of confidential messages over the internet is the security of information conveyance. For instance, the producers and consumers of digital products are keen to know that their products are authentic and can be differentiated from those that are invalid. The science of encryption is the art of embedding data in audio files, images, videos or content in a way that would meet the above security needs. Steganography is a branch of data hiding science which aims to reach a describe level of security in the exchange of private military and commercial data which is not clear. This system is proposed to hide the text information files within the image based on the LSB method in order to meet security requirement such as confidential and integrity. The least significant bit is the bit which is farthest to the right and holds the least value in a multi bit binary number. This system is implemented by using C programming. Win Win Maw | San San Lwin "Text Embedded System using LSB Method" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26696.pdf Paper URL: https://www.ijtsrd.com/engineering/information-technology/26696/text-embedded-system-using-lsb-method/win-win-maw
LSB Based Image Steganography for Information Security System
Information hiding in a cover file is one of the most modernized and effective ways for transferring secret message from sender to receiver over the communication channel. There are many steganographic techniques for hiding secret message in image, text, audio, video and so on. Image Steganography is also one of the common methods used for hiding the information in the cover image. In this research work, the secret message is hidden in a cover image file using image steganography. LSB is very efficient algorithm used to embed the information in a cover file. The LSB based image steganography with various file sizes is analyzed and illustrated their results. Bitmap .bmp image is used as a cover image file to implement the proposed system. The detail Least Significant Bit LSB based image steganography is introduced. In this paper, the new embedding algorithm and extracting algorithm are presented. While embedding the secret message in a cover image file, the starting embedded pixel is chosen according to public shared key between sender and receiver. The original cover image and embedded image with secret message are analyzed with PSNR values and SNR values to achieve security. The resulting embedded image shows the acceptable PSNR and SNR values while comparing with the original cover image. The proposed system can help the information exchanging system over communication media. Aung Myint Aye "LSB Based Image Steganography for Information Security System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18995.pdf
http://www.ijtsrd.com/computer-science/computer-security/18995/lsb-based-image-steganography-for-information-security-system/aung-myint-aye
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.
Design and Implementation of Lifting Based Wavelet and Adaptive LSB Steganogr...
Image steganography is an art of hiding images
secretly within another image. There are several ways of
performing image steganography; one among them is the
spatial approach. The most popular spatial domain approach
of image steganography is the Least Significant Bit (LSB)
method, which hides the secret image pixel information in the
LSB of the cover image pixel information. In this paper a
LSB based steganography approach is used to design
hardware architecture for the Image steganography. The
Discrete Wavelet Transform (DWT) is used here to transform
the cover image into higher and lower wavelet coefficients
and use these coefficients in hiding the secret image. the
design also includes encryption of secret image data, to
provide a higher level of security to the secret image. The
steganography system involving the stegno module and a
decode module is designed here. The design was simulated,
synthesized and implemented on Artix -7 FPGA. The
operation hiding and retrieving images was successfully
verified through simulations.
Review Paper on LSB Based Stegnography to Enhance Image Security
Steganography is the technique of hiding a secret message or information in a cover message like an image, text or sound in such a way that only the desired or intended recipient knows about the existence of the secret data. It can be defined as the study of invisible communication which usually deals with the technique of hiding the existence of the secret message. The hidden message may be in the form of text, image, audio and video etc. An image after inserting the secret message into it by using a stego key is known as a stego image. Nowadays steganography is important due to an exponential growth in secret communication by potential computer users over the internet. In this paper we have analyzed the various steganography techniques and observed that the security of the secret message can be enhanced by random selection of the pixels for substitution in LSB steganography. Further the error metrics PSNR Peak Signal to Noise Ratio should be high and MSE Mean Square Error should be low indicating good quality re construction. Naveen Verma | Preeti Sondhi | Gargi Kalia "Review Paper on LSB Based Stegnography to Enhance Image Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25326.pdfPaper URL: https://www.ijtsrd.com/computer-science/computer-security/25326/review-paper-on-lsb-based-stegnography-to-enhance-image-security/naveen-verma
A Comparative Study And Literature Review Of Image Steganography Techniques
This document reviews and compares various image steganography techniques that have been proposed by researchers. It begins with defining steganography as hiding communication to prevent detection by enemies. Image steganography techniques hide data in digital images by modifying pixel values. The document evaluates techniques based on invisibility, payload capacity, robustness, file format independence, and image quality using PSNR. Several literature examples are reviewed, including techniques using integer wavelet transform, bit plane complexity analysis, data compression prior to embedding, and transformations like DCT and Arnold transform for increased security. Overall the document provides an overview of image steganography concepts and a comparative analysis of different proposed techniques.
Journal - DATA HIDING SECURITY USING BIT MATCHING-BASED STEGANOGRAPHY AND CR...
This document presents a new method for combining steganography and cryptography without changing the quality of the cover image. The method embeds secret messages by finding the bits in the message that match bits in the most significant bit (MSB) of cover images. It stores the indices of the matching bit positions. The indices are then encrypted using the Data Encryption Standard (DES) cryptographic algorithm. Experiments show that the proposed method can securely hide messages in images without degrading image quality. Larger cover images allow hiding more data but require more time for the bit-matching process. Adding noise to cover images starts degrading hidden messages at a mean squared error of 0.00049.
www.ijerd.com
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
www.ijerd.com
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
IJERD(www.ijerd.com)International Journal of Engineering Research and Develop...
This document summarizes a research paper that proposes a new methodology for reducing additive distortion in steganography. The paper introduces a method to embed 2 bits of information in a pixel by altering only one bit plane. This is expected to make detection of covert communication more difficult for steganalysis algorithms compared to altering the least significant bit. The method uses Java for implementation and MATLAB to analyze histograms of original and stego images. Experimental results on embedding secret text in images are presented, along with analysis of the distortion levels and security of the proposed approach.
Using SBR Algorithm To Hide The Data Into The JPEG Image
Data hiding is the art of hiding data for various purposes such as--- to maintain private data, secure confidential data. Well known technique is the Steganography; Steganography has evolved into a digital strategy of hiding a file in some form of multimedia, such as an image, an audio file or even a video file. This paper presents a new Steganography technique in spatial domain for encoding extra information in an image by making small modifications to its pixels. The proposed method focuses on one particular popular technique, Least Significant Bit (LSB) Embedding. Instead of using the LSB-1 of the cover for embedding the message, LSB-2 has been used to increase the robustness of system. and protect the message against the external influences such as noise, filter, compression…etc.[Using SBR Algo].
For more protection to the message bits a Stego-Key has been used to permute the message bits before embedding it. An experimental result of the modified method shows that this paper helps to successfully hide the secret data into the image file with minimum distortion made to the image file.
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.
Impact of Message Size on Least Significant Bit and Chaotic Logistic Mapping ...
Steganography is the technique of hiding information in other objects. Although many carrier objects can be used, digital images are the most popular because of their usage over the internet. For this purpose, many types of images steganographic techniques have been invented. Each of them has both pros and cons. It depends on the complexity, hiding capacity, security, and so on. In our research, we studied the two most popular techniques of image steganography, least significant bit LSB and chaotic logistic mapping to find the similarities, dissimilarities, and many other factors. In this paper, we presented a detailed comparison of the LSB and chaotic logistic mapping based image steganography for various carrier images and messages. Tokey Ahmmed | Ipshita Tasnim Raha | Faizah Safwat | Nakib Aman Turzo "Impact of Message Size on Least Significant Bit and Chaotic Logistic Mapping Steganographic Technique" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42494.pdf Paper URL: https://www.ijtsrd.comcomputer-science/computer-security/42494/impact-of-message-size-on-least-significant-bit-and-chaotic-logistic-mapping-steganographic-technique/tokey-ahmmed
IRJET- Application of Machine Learning for Data Security
This document summarizes research on using machine learning techniques for data security, specifically steganography (hiding secret messages within images). It discusses how machine learning algorithms like support vector machines (SVM) can help smooth distorted images and retrieve lost data after a secret message is hidden within an image. The document reviews several related works applying techniques like least significant bit substitution, artificial immune systems, deep learning models for steganalysis, and hash-based approaches. It concludes that the goal is to develop an application for information security using machine learning algorithms to better handle any data loss during transmission from source to destination.
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
Steganography is the art of hiding confidential information (secret) within any media file (cover media) to
produce an amalgamated secret-cover media called stego media, so that the secret cannot be recognized or
recovered by unauthorized recipients. Many steganalysis techniques have been developed enabling
recognition of the existence of secrets within stego media and recovering it. Therefore, it is necessary to
develop more secure steganography algorithms. This paper presents a detailed description of a new secure
Block Permutation Image Steganography (BPIS) algorithm. The algorithm converts the secret message to a
binary sequence, divides the binary sequence into blocks, permutes the block using a key-based randomly
generated permutation, concatenates the permuted blocks forming a permuted binary sequence, and then
utilizes the Least-Significant-Bit (LSB) approach to embed the permuted binary sequence into BMP image
file. The algorithm performance is investigated through performing a number of experiments, and for each
experiment the PSNR (Peak Signal-to-Noise Ratio) between the stego and cover images is calculated. The
results show that the algorithm provides high image quality, and invisibility, and most importantly higher
security as secret cannot be recovered without knowing the permutation, which has a complexity of O(N!),
where N is the length of the permutation.
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
Steganography is the art of hiding confidential information (secret) within any media file (cover media) to
produce an amalgamated secret-cover media called stego media, so that the secret cannot be recognized or
recovered by unauthorized recipients. Many steganalysis techniques have been developed enabling
recognition of the existence of secrets within stego media and recovering it. Therefore, it is necessary to
develop more secure steganography algorithms. This paper presents a detailed description of a new secure
Block Permutation Image Steganography (BPIS) algorithm. The algorithm converts the secret message to a
binary sequence, divides the binary sequence into blocks, permutes the block using a key-based randomly
generated permutation, concatenates the permuted blocks forming a permuted binary sequence, and then
utilizes the Least-Significant-Bit (LSB) approach to embed the permuted binary sequence into BMP image
file. The algorithm performance is investigated through performing a number of experiments, and for each
experiment the PSNR (Peak Signal-to-Noise Ratio) between the stego and cover images is calculated. The
results show that the algorithm provides high image quality, and invisibility, and most importantly higher
security as secret cannot be recovered without knowing the permutation, which has a complexity of O(N!),
where N is the length of the permutation.
K0815660
This document provides an overview of digital image steganography and steganalysis. It discusses various image steganography techniques including least significant bit modification in the spatial domain, and algorithms like JSteg and F5 that operate in the transform domain. It also covers hybrid techniques like patchwork and spread spectrum. The document compares the techniques based on parameters like invisibility, bit rate, and robustness. Finally, it discusses steganalysis methods for detecting hidden information in images, including techniques based on higher-order image statistics.
A Survey Paper On Different Steganography Technique
This document summarizes a survey paper on different steganography techniques. It begins by defining steganography and its types such as linguistic, image, network, video, audio, and text steganography. It then focuses on least significant bit (LSB) steganography, explaining how it works by replacing the LSB of image pixel values with secret message bits. The paper compares the histograms of cover and stego images, showing they are almost identical. It discusses the advantages of steganography and concludes by analyzing steganography methods and suggesting areas for future work such as increasing embedding capacity while maintaining secrecy.
LSB Based Stegnography to Enhance the Security of an Image
Steganography is the technique of hiding a secret message or information in a cover message like an image, text or sound in such a way that only the desired or intended recipient knows about the existence of the secret data. It can be defined as the study of invisible communication which usually deals with the technique of hiding the existence of the secret message. The hidden message may be in the form of text, image, audio and video etc. An image after inserting the secret message into it by using a stego key is known as a stego image. Nowadays steganography is important due to an exponential growth in secret communication by potential computer users over the internet. In this paper we have analyzed the various steganography techniques and propose to enhance the security of the secret message by random selection of the keys to extract the secret message and working towards increasing the PSNR Peak Signal to Noise Ratio and decreasing the MSE Mean Square Error . Naveen Verma | Preeti Sondhi | Gargi Kalia ""LSB Based Stegnography to Enhance the Security of an Image"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-4 , June 2019, URL: https://www.ijtsrd.com/papers/ijtsrd25163.pdf
Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/25163/lsb-based-stegnography-to-enhance-the-security-of-an-image/naveen-verma
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LSB Based Image Steganography for Information Security System
LSB Based Image Steganography for Information Security System
Design and Implementation of Lifting Based Wavelet and Adaptive LSB Steganogr...
Design and Implementation of Lifting Based Wavelet and Adaptive LSB Steganogr...
Review Paper on LSB Based Stegnography to Enhance Image Security
Review Paper on LSB Based Stegnography to Enhance Image Security
A Comparative Study And Literature Review Of Image Steganography Techniques
A Comparative Study And Literature Review Of Image Steganography Techniques
Journal - DATA HIDING SECURITY USING BIT MATCHING-BASED STEGANOGRAPHY AND CR...
Journal - DATA HIDING SECURITY USING BIT MATCHING-BASED STEGANOGRAPHY AND CR...
IJERD(www.ijerd.com)International Journal of Engineering Research and Develop...
IJERD(www.ijerd.com)International Journal of Engineering Research and Develop...
Using SBR Algorithm To Hide The Data Into The JPEG Image
Using SBR Algorithm To Hide The Data Into The JPEG Image
Impact of Message Size on Least Significant Bit and Chaotic Logistic Mapping ...
Impact of Message Size on Least Significant Bit and Chaotic Logistic Mapping ...
IRJET- Application of Machine Learning for Data Security
IRJET- Application of Machine Learning for Data Security
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
A SECURE BLOCK PERMUTATION IMAGE STEGANOGRAPHY ALGORITHM
A Survey Paper On Different Steganography Technique
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LSB Based Stegnography to Enhance the Security of an Image
LSB Based Stegnography to Enhance the Security of an Image
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Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
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His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
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Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
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Stegnography
- 1. AUDISANKARA COLLEGE OF ENGINEERING AND TECHNOLOGY DEPARTMENT OF CSE A TechnicalSeminar on STEGANOGRAPHY Presented by A.Keerthi Yadav 12G21A0505
- 2. Overview Introduction History Problem statement Objective of the study Scope Steganography techniques LSB algorithm Design phase Snapshots Results and discussion Conclusion and further enhancement References
- 3. INTRODUCTION Steganography comes from Greek word which means covered or secret writing. Stegan means covered, graphy means writing
- 4. Continue “The goal of steganography is to hide messages in such a way that no one apart from the intended recipient even knows that a message has been sent.” This can be achieve by concealing the existence of information within seemingly harmless carriers or cover It can be understand by the following figure.
- 5. History The first recorded uses of steganography can be traced back to 440 BC when Herodotus mentions an example of steganography in the histories of Herodotus. Ancient example is that of histories, who shaved the head of his most trusted slave and tattooed a message on it. After his hair had grown the message was hidden. The purpose was to instigate a revolt against the Persians.
- 6. Problem Statement How can we send a message secretly to the destination. Using steganography, information can be hidden in carriers such as images, audio files, text files, videos and data transmissions. In this study, I proposed a new framework of an image steganography system to hide a digital text of a secret message.
- 7. Objective of the Study Here primarily concentrated on the data security issues when sending the data over the network using steganographic techniques. The main objectives of the project are: Requirement of this steganography system is that the hider message carried by stego-media should not be sensible to human beings. The other goal of steganography is to avoid drawing suspicion to the existence of a hidden message. This approach of information hiding technique has recently become important in a number of application areas.
- 8. Scope The scope of the project is to limit unauthorized access and provide better security during message transmission. To meet the requirements, we use the simple and basic approach of steganography. In this project, the proposed approach finds the suitable algorithm for embedding the data in an image using steganography which provides the better security pattern for sending messages through a network. For practically implementing the function of the discussed algorithms, Microsoft .NET framework is used.
- 9. Steganography Technique Pure steganography: Pure steganography is the process of embedding the data into the object without using any private keys. This type of steganography entirely depends upon the secrecy. This type of steganography uses a cover image in which data is to be embedded, personal information to be transmitted, and encryption decryption algorithms to embed the message into image.
- 10. LSB Algorithm LSB (Least Significant Bit) substitution is the process of adjusting the least significant bit pixels of the carrier image. It is a simple approach for embedding message into the image. The Least Significant Bit insertion varies according to number of bits in an image. For an 8 bit image, the least significant bit i.e., the 8th bit of each byte of the image is changed to the bit of secret message. For 24 bit image, the colors of each component like RGB (red, green and blue) are changed. LSB is effective in using BMP images since the compression in BMP is lossless
- 11. How LSB Works Structure of text file: Any text file consists of streams of characters , each character is 1 byte (ASCII code) each byte as all of us of course know consists of 8 bits .
- 12. Continue
- 13. Design Phase Start Application Encryption Decryption Image file BMP image file Image Message file Image Messagefile Figure: Block diagram for Steganography
- 14. Continue ENCRYPTION PHASE: The “Encryption phase” uses two types of files for encryption purpose. One is the secret file which is to be transmitted securely, and the other is a carrier file such as image. In the encryption phase the data is embedded into the image. Figure: Encryption Phase Process
- 15. Continue DECRYPTION PHASE: The Decryption phase is reverse to encryption phase. In decryption phase, the carrier image in which the data is hided is given as an input file. decryption section uses the “Least Significant bit Algorithm” (LSB) by which the encoded bits in the image is decoded and turns to its original state and gives the output as a text document. Figure: Decryption Phase Process
- 16. Snapshots
- 17. Continue
- 18. Continue
- 19. Continue
- 20. Continue
- 21. Continue
- 22. Results and Discussion In this project I mainly concentrated on embedding the data into an image such that the image is protected and the data to the destination is sent securely. The speed of embedding the data into the image is also high in the proposed approach There are many steganographic algorithms available like JSteg, F5 and LSB algorithms. But we used the Least Significant Bit algorithm in designing the steganographic application because LSB algorithm works efficiently. The speed of embedding is also high when using LSB compared to the JSteg algorithm.
- 23. Conclusion In the present world, the data transfers using internet is rapidly growing because it is so easier as well as faster to transfer the data to destination. So, many individuals and business people use to transfer business documents, important information using internet. Security is an important issue while transferring the data using internet because any unauthorized individual can hack the data and make it useless or obtain information un- intended to him.