Presentation on developing an android application on digital watermarking.It involves encryption and decryption of text in text file and an image. Different diagrams are also mentioned in it. Further description is given in the ppt.
A Novel Key Distribution Scheme f or a Visual Crypto SystemIRJET Journal
This document proposes a novel key distribution scheme for visual cryptography. It begins with an introduction to cryptography and visual cryptography. It then describes the existing Diffie-Hellman key exchange algorithm. The proposed method generates a shared secret key through a multi-step process using asymmetric key cryptography and modulus operation on private keys and a public image. Both parties are able to derive the same symmetric key for encrypting future communications without directly transmitting their private keys. The methodology and implementation details are provided, along with experimental results demonstrating the generation of matching keys within 0.11 seconds on average.
This document proposes a variable length key-based visual cryptography scheme for encrypting color images. It involves encrypting the original image using a variable length symmetric key, generating shares of the encrypted image using random numbers, and decrypting the shares by stacking a minimum number of shares and applying the same encryption key. The proposed scheme aims to improve security over simple visual cryptography by using an encryption key and random number-based share generation, making the shares and encrypted image different from the original image. It is described as having less complex share generation than other techniques while providing security through the use of encryption and a variable length key.
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.
Digital signatures provide authentication of digital messages or documents. There are three main algorithms involved: hashing, signature generation, and signature verification. Common digital signature schemes include ElGamal, Schnorr, and the Digital Signature Standard (DSS). The DSS is based on ElGamal and Schnorr schemes. It uses smaller signatures than ElGamal by employing two moduli, one smaller than the other. Digital signatures are widely used to provide authentication in protocols like IPSec, SSL/TLS, and S/MIME.
This document proposes a new method for obtaining digital signatures using an RSA algorithm. It introduces digital signatures and their features. The existing RSA algorithm and the proposed multiple integer RSA algorithm are described. The software, hardware, and working applications to generate and view signatures are outlined. Test results showing the proposed method has faster execution times are presented. The document concludes the proposed method authenticates identity and ensures integrity while providing high security. Future work to improve digital signature storage and replace external devices is discussed.
Dual Steganography for Hiding Video in VideoIJTET Journal
Abstract— Dual Steganography is the process of using Steganography combined with Cryptography. Steganography is the process of hiding confidential data’s in the media files such as audio, images, videos, etc. Cryptography is a branch of mathematics concerned with the study of hiding and revealing information and for proving authorship of messages. In this paper, the Dual Steganography concept has been applied to secure the original videos from unauthorized person. The process has been done by embedding the original video inside another video. Both the videos are converted into frames first. After that, the individual frames of original video are sampled with the frames of another video. After completing the sampling process, the output frames are combined to obtain the encrypted video.
“Proposed Model for Network Security Issues Using Elliptical Curve Cryptography”IOSR Journals
Abstract: Elliptic Curve Cryptography (ECC) plays an important role in today’s public key based security
systems. . ECC is a faster and more secure method of encryption as compared to other Public Key
Cryptographic algorithms. This paper focuses on the performance advantages of using ECC in the wireless
network. So in this paper its algorithm has been implemented and analyzed for various bit length inputs. The
Private key is known only to sender and receiver and hence data transmission is secure.
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.
A Novel Key Distribution Scheme f or a Visual Crypto SystemIRJET Journal
This document proposes a novel key distribution scheme for visual cryptography. It begins with an introduction to cryptography and visual cryptography. It then describes the existing Diffie-Hellman key exchange algorithm. The proposed method generates a shared secret key through a multi-step process using asymmetric key cryptography and modulus operation on private keys and a public image. Both parties are able to derive the same symmetric key for encrypting future communications without directly transmitting their private keys. The methodology and implementation details are provided, along with experimental results demonstrating the generation of matching keys within 0.11 seconds on average.
This document proposes a variable length key-based visual cryptography scheme for encrypting color images. It involves encrypting the original image using a variable length symmetric key, generating shares of the encrypted image using random numbers, and decrypting the shares by stacking a minimum number of shares and applying the same encryption key. The proposed scheme aims to improve security over simple visual cryptography by using an encryption key and random number-based share generation, making the shares and encrypted image different from the original image. It is described as having less complex share generation than other techniques while providing security through the use of encryption and a variable length key.
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.
Digital signatures provide authentication of digital messages or documents. There are three main algorithms involved: hashing, signature generation, and signature verification. Common digital signature schemes include ElGamal, Schnorr, and the Digital Signature Standard (DSS). The DSS is based on ElGamal and Schnorr schemes. It uses smaller signatures than ElGamal by employing two moduli, one smaller than the other. Digital signatures are widely used to provide authentication in protocols like IPSec, SSL/TLS, and S/MIME.
This document proposes a new method for obtaining digital signatures using an RSA algorithm. It introduces digital signatures and their features. The existing RSA algorithm and the proposed multiple integer RSA algorithm are described. The software, hardware, and working applications to generate and view signatures are outlined. Test results showing the proposed method has faster execution times are presented. The document concludes the proposed method authenticates identity and ensures integrity while providing high security. Future work to improve digital signature storage and replace external devices is discussed.
Dual Steganography for Hiding Video in VideoIJTET Journal
Abstract— Dual Steganography is the process of using Steganography combined with Cryptography. Steganography is the process of hiding confidential data’s in the media files such as audio, images, videos, etc. Cryptography is a branch of mathematics concerned with the study of hiding and revealing information and for proving authorship of messages. In this paper, the Dual Steganography concept has been applied to secure the original videos from unauthorized person. The process has been done by embedding the original video inside another video. Both the videos are converted into frames first. After that, the individual frames of original video are sampled with the frames of another video. After completing the sampling process, the output frames are combined to obtain the encrypted video.
“Proposed Model for Network Security Issues Using Elliptical Curve Cryptography”IOSR Journals
Abstract: Elliptic Curve Cryptography (ECC) plays an important role in today’s public key based security
systems. . ECC is a faster and more secure method of encryption as compared to other Public Key
Cryptographic algorithms. This paper focuses on the performance advantages of using ECC in the wireless
network. So in this paper its algorithm has been implemented and analyzed for various bit length inputs. The
Private key is known only to sender and receiver and hence data transmission is secure.
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.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document is a synopsis submitted for a degree in bachelor of technology. It describes a project on audio steganography, where a secret message is hidden in a digital audio file. The synopsis includes an introduction describing the objective, benefits and scope of the project. It also includes sections on the encoding and decoding algorithms, flow charts, use case and data flow diagrams, and references.
The document describes a modified AES key expansion algorithm for image encryption and decryption. It discusses basics of cryptography and image encryption. It introduces AES and describes the standard AES key expansion process. It then presents a modified AES key expansion algorithm tailored for images where the keys are expanded based on image pixel count, Rcon values are derived from the initial key, and the S-box is shifted based on the initial key. It analyzes the proposed algorithm and shows it offers high encryption quality with minimal time compared to previous techniques.
This document summarizes three algorithms for audio steganography. Algorithm 1 embeds watermark bits randomly in audio samples. Algorithm 2 embeds bits in the first k elements of each audio segment. Algorithm 3 embeds bits in the first k segments. Algorithm 3 is most imperceptible but least robust, while Algorithm 1 is most robust but least imperceptible. The embedding position affects imperceptibility and robustness, which are inversely related. The document evaluates the algorithms' performance and concludes that changing the embedding position impacts an audio signal's imperceptibility and robustness.
This document discusses audio steganography. It defines steganography as hiding a message such that no one apart from the sender and recipient knows about the message. It describes different methods of hiding information in audio files, including least significant bit and discrete wavelet transform methods. It outlines the advantages of audio steganography such as its ability to conceal more information and flexibility. It also includes project plans, risk analysis, cost analysis, and UML diagrams for an audio steganography software project.
This document presents a novel approach for audio steganography that uses two levels of security. The first level uses an improved RSA encryption algorithm (RPrime RSA) to encrypt a message. The encrypted message is then encoded into an audio file using a genetic algorithm (GA) based least significant bit (LSB) algorithm. The encrypted message bits are embedded into random higher LSB layers of the audio samples to increase robustness against attacks. Genetic algorithm operators are used to minimize bit-level deviations between the original audio and stego audio, improving transparency. The proposed approach claims to provide higher security, capacity, and robustness for hidden data compared to traditional LSB encoding methods.
DWT based approach for steganography using biometricsSri Madhur
This document discusses biometric steganography, which is a method of hiding secret data within skin regions of images. It begins by providing background on steganography and defining key terms. It then describes the specific steganography method used, which embeds secret data in the skin tone region of an image using the discrete wavelet transform after detecting skin tones via HSV color space. The document outlines the process, including carrier image, embedding in DWT sub-bands, extraction, and defines terms like PSNR. It concludes that embedding only in skin regions rather than the whole image enhances security, and cropping the image before transmission provides additional security.
The document provides an overview of the status of MPEG-4 developments and the AIC Initiative. It discusses the goals, history, and architecture of MPEG-4, which aims to code audio-visual objects and scenes to enable interactivity. MPEG-4 extends existing architectures like MPEG-2 and IP to new environments through tools like an interactive scene description and support for new content types and delivery formats. Profiles and levels are defined to suit different applications. Carriage of MPEG-4 over MPEG-2 and IP is also addressed.
Digital signatures provide authentication of digital documents through encryption with a private key. They offer advantages over physical signatures like non-repudiation and integrity verification by checking that the document contents have not changed. Digital signatures are created by running a hash function over a message to generate a message digest, then encrypting the digest with a private key. They can be used for a variety of applications including e-voting, online money transfers, and filing government forms electronically.
The document proposes two techniques for hiding messages in digital images using steganography. The first technique encodes a secret message using punctuation marks before embedding it in an image. The second uses a modified scytale cipher to arrange the message bits in a grid that is then linearly embedded. Both techniques add an extra layer of protection on top of embedding in the image. Examples are provided demonstrating applying each technique using S-Tools software and analyzing the original versus stego-images.
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
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
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.
An Image Encryption using Chaotic Based Cryptosystemxlyle
NAME: MUHAMAD LUQMAN NULHAKIM BIN MANSOR
NO MATRIC: BTBL16043975
COURSE: ISM (SK) KESELAMATAN RANGKAIAN KOMPUTER
SUPERVISOR: PROF. MADYA DR AFENDEE BIN MOHAMED
UNIVERSITI SULTAN ZAINAL ABIDIN
The document discusses various topics related to image encryption, including encryption algorithms, evolutionary algorithms, chaos theory, and swarm intelligence. It provides an analysis and comparison of existing image encryption algorithms such as techniques using digital signatures, SCAN-based compression and encryption, and mirror-like scrambling according to a chaotic binary sequence. It also describes encryption methods using double random phase encoding of color images and decomposing images into vectors before applying traditional cryptosystems.
Second presentation of Mike Dance's Cryptography series, it aims to provide an overview of digital signature and define the terminology used for digital signatures.
Mike Dance is a web developer and Bitcoin advocate.
----------
Presented at the BitcoinSYD Meetup on 18 February 2015
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.
The document provides an overview of an Android application for encrypting text and images. It describes the algorithms used for encryption and decryption. The encryption algorithm takes in text or an image file, a random key, and stores the encrypted output in a file. The decryption algorithm recovers the original text or image by decrypting the file with the key. The application implements these algorithms to allow users to securely encrypt and decrypt files on their Android devices. Testing procedures are also outlined to ensure proper functionality and security.
Decrypt and Encrypt the Image in Cryptographic Algorithm HS Based RDH and LSB...IRJET Journal
This document discusses methods for encrypting and decrypting images using reversible data hiding and least significant bit algorithms with asymmetric cryptography. It proposes a method that reserves room in the image before encryption using histogram shift-based reversible data hiding and least significant bit algorithms with a public key cryptosystem. This allows data to be embedded in the encrypted image simply for the user. The embedded data and original image can then be extracted and recovered later without any loss of pixels or data. The method claims to embed more than ten times as much data as other techniques while maintaining image quality and restoration after encryption.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
This document is a synopsis submitted for a degree in bachelor of technology. It describes a project on audio steganography, where a secret message is hidden in a digital audio file. The synopsis includes an introduction describing the objective, benefits and scope of the project. It also includes sections on the encoding and decoding algorithms, flow charts, use case and data flow diagrams, and references.
The document describes a modified AES key expansion algorithm for image encryption and decryption. It discusses basics of cryptography and image encryption. It introduces AES and describes the standard AES key expansion process. It then presents a modified AES key expansion algorithm tailored for images where the keys are expanded based on image pixel count, Rcon values are derived from the initial key, and the S-box is shifted based on the initial key. It analyzes the proposed algorithm and shows it offers high encryption quality with minimal time compared to previous techniques.
This document summarizes three algorithms for audio steganography. Algorithm 1 embeds watermark bits randomly in audio samples. Algorithm 2 embeds bits in the first k elements of each audio segment. Algorithm 3 embeds bits in the first k segments. Algorithm 3 is most imperceptible but least robust, while Algorithm 1 is most robust but least imperceptible. The embedding position affects imperceptibility and robustness, which are inversely related. The document evaluates the algorithms' performance and concludes that changing the embedding position impacts an audio signal's imperceptibility and robustness.
This document discusses audio steganography. It defines steganography as hiding a message such that no one apart from the sender and recipient knows about the message. It describes different methods of hiding information in audio files, including least significant bit and discrete wavelet transform methods. It outlines the advantages of audio steganography such as its ability to conceal more information and flexibility. It also includes project plans, risk analysis, cost analysis, and UML diagrams for an audio steganography software project.
This document presents a novel approach for audio steganography that uses two levels of security. The first level uses an improved RSA encryption algorithm (RPrime RSA) to encrypt a message. The encrypted message is then encoded into an audio file using a genetic algorithm (GA) based least significant bit (LSB) algorithm. The encrypted message bits are embedded into random higher LSB layers of the audio samples to increase robustness against attacks. Genetic algorithm operators are used to minimize bit-level deviations between the original audio and stego audio, improving transparency. The proposed approach claims to provide higher security, capacity, and robustness for hidden data compared to traditional LSB encoding methods.
DWT based approach for steganography using biometricsSri Madhur
This document discusses biometric steganography, which is a method of hiding secret data within skin regions of images. It begins by providing background on steganography and defining key terms. It then describes the specific steganography method used, which embeds secret data in the skin tone region of an image using the discrete wavelet transform after detecting skin tones via HSV color space. The document outlines the process, including carrier image, embedding in DWT sub-bands, extraction, and defines terms like PSNR. It concludes that embedding only in skin regions rather than the whole image enhances security, and cropping the image before transmission provides additional security.
The document provides an overview of the status of MPEG-4 developments and the AIC Initiative. It discusses the goals, history, and architecture of MPEG-4, which aims to code audio-visual objects and scenes to enable interactivity. MPEG-4 extends existing architectures like MPEG-2 and IP to new environments through tools like an interactive scene description and support for new content types and delivery formats. Profiles and levels are defined to suit different applications. Carriage of MPEG-4 over MPEG-2 and IP is also addressed.
Digital signatures provide authentication of digital documents through encryption with a private key. They offer advantages over physical signatures like non-repudiation and integrity verification by checking that the document contents have not changed. Digital signatures are created by running a hash function over a message to generate a message digest, then encrypting the digest with a private key. They can be used for a variety of applications including e-voting, online money transfers, and filing government forms electronically.
The document proposes two techniques for hiding messages in digital images using steganography. The first technique encodes a secret message using punctuation marks before embedding it in an image. The second uses a modified scytale cipher to arrange the message bits in a grid that is then linearly embedded. Both techniques add an extra layer of protection on top of embedding in the image. Examples are provided demonstrating applying each technique using S-Tools software and analyzing the original versus stego-images.
The document provides an introduction to image encryption using AES key expansion. It discusses how traditional encryption techniques are not well-suited for encrypting large multimedia files like images due to their size and characteristics. The objective of the study is to develop an image encryption system that is computationally secure, fast enough for real-time use, and widely acceptable. It reviews related works in image encryption and discusses limitations of only using a 128-bit AES key. The document is organized into chapters covering cryptography fundamentals, image cryptosystems, AES algorithm details, an example of AES key expansion, and experimental analysis.
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
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.
An Image Encryption using Chaotic Based Cryptosystemxlyle
NAME: MUHAMAD LUQMAN NULHAKIM BIN MANSOR
NO MATRIC: BTBL16043975
COURSE: ISM (SK) KESELAMATAN RANGKAIAN KOMPUTER
SUPERVISOR: PROF. MADYA DR AFENDEE BIN MOHAMED
UNIVERSITI SULTAN ZAINAL ABIDIN
The document discusses various topics related to image encryption, including encryption algorithms, evolutionary algorithms, chaos theory, and swarm intelligence. It provides an analysis and comparison of existing image encryption algorithms such as techniques using digital signatures, SCAN-based compression and encryption, and mirror-like scrambling according to a chaotic binary sequence. It also describes encryption methods using double random phase encoding of color images and decomposing images into vectors before applying traditional cryptosystems.
Second presentation of Mike Dance's Cryptography series, it aims to provide an overview of digital signature and define the terminology used for digital signatures.
Mike Dance is a web developer and Bitcoin advocate.
----------
Presented at the BitcoinSYD Meetup on 18 February 2015
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.
The document provides an overview of an Android application for encrypting text and images. It describes the algorithms used for encryption and decryption. The encryption algorithm takes in text or an image file, a random key, and stores the encrypted output in a file. The decryption algorithm recovers the original text or image by decrypting the file with the key. The application implements these algorithms to allow users to securely encrypt and decrypt files on their Android devices. Testing procedures are also outlined to ensure proper functionality and security.
Decrypt and Encrypt the Image in Cryptographic Algorithm HS Based RDH and LSB...IRJET Journal
This document discusses methods for encrypting and decrypting images using reversible data hiding and least significant bit algorithms with asymmetric cryptography. It proposes a method that reserves room in the image before encryption using histogram shift-based reversible data hiding and least significant bit algorithms with a public key cryptosystem. This allows data to be embedded in the encrypted image simply for the user. The embedded data and original image can then be extracted and recovered later without any loss of pixels or data. The method claims to embed more than ten times as much data as other techniques while maintaining image quality and restoration after encryption.
This document describes an audio cryptography system project that embeds encrypted messages within audio files. The system has two main modules: a GUI module built using AWT, Swing components; and an encryption/decryption module. Messages are encrypted before being embedded in audio files using LSB coding and encryption algorithms. The encrypted audio files can then be transmitted and decrypted at the recipient end to extract the original message. The system aims to provide security, confidentiality and integrity to transmitted messages.
The document discusses combining cryptography and steganography techniques for secure communication. It proposes encrypting a message before hiding it in a digital object like an image file. This provides two layers of security since an extracted hidden message would still be encrypted. The document outlines the cryptography and steganography algorithms to be used, including AES encryption and least significant bit steganography with improvements like randomization and hashing.
Internet security evaluation system documentation nikithaSusmitha Reddy
The document describes an Internet Security Evaluation System (ISES) project that was developed for a client. The project involves encrypting text using various encryption algorithms and decrypting the encrypted text. Key features include encrypting text using Caesar cipher, substitution cipher, Vigenere cipher, and monoalphabetic substitution cipher. The encrypted text is stored and decrypted later using corresponding decoding algorithms and a key. The system also allows editing encrypted text and analyzing the encryption/decryption performance.
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.
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.
Transmission of cryptic text using rotational visual cryptographyeSAT Journals
The document proposes a hybrid approach for secure data transmission combining cryptography, steganography, and rotational visual cryptography. The approach involves encrypting data using DES encryption with a session key generated via Diffie-Hellman key exchange. The encrypted data is then hidden in the least significant bits of cover image pixels to create a stego image. The stego image is rotated by a specific angle during transmission. At the receiver, the image is de-rotated, the encrypted data extracted from the image, and decrypted using the session key to obtain the original data. The approach aims to provide improved security over traditional methods through multiple layers of encryption, data hiding, and image transformation.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
High Security Cryptographic Technique Using Steganography and Chaotic Image E...IOSR Journals
This document summarizes a proposed cryptographic technique that combines steganography and chaotic image encryption to provide high security. Steganography is used to hide a message within a cover image by embedding it in the least significant bits of pixel values without affecting image quality. The resulting stego-image is then encrypted using triple-key chaotic image encryption based on the logistic map, making the encrypted data highly sensitive to changes in the initial encryption keys. The technique provides four layers of security to securely transmit hidden messages within digital images.
This document presents a new mathematical model for encrypting data using fingerprint data. It works as follows:
1. A fingerprint image is used to generate an encryption key by determining the number of black pixels. This key will be unique for each user.
2. The key is used to generate a very large number to represent each letter or character. Different digits of this number represent different letters.
3. The plaintext is converted to this numerical representation to generate the ciphertext. Additional functions may be applied to further encrypt the ciphertext.
4. To decrypt, the receiver applies the inverse functions and uses the key to determine the letter associated with each number to recover the plaintext. The model is intended to provide highly
Face detection is an important part of computer vision and OpenCV provides algorithms to detect faces in images and video. The document discusses different face detection methods including knowledge-based, feature-based, template matching, and appearance-based. It also covers how to set up OpenCV in Python, read and display images, extract pixel values, and detect faces using Haar cascades which use Haar-like features to train a classifier to identify faces. Future applications of face detection with OpenCV include attendance systems, security, and more.
E-Fraud Prevention based on self-authentication of e-documentsMaddiSujitha
The self-authentication of e-documents sent as attachments over the internet provides a unique facility for many legal and financial transactions that have traditionally relied on paper based documents to secure authenticity.
Application of bpcs steganography to wavelet compressed video (synopsis)Mumbai Academisc
This document discusses applying BPCS steganography techniques to embed secret information in wavelet compressed video. It begins with an abstract describing BPCS steganography, which embeds secret data in the bit-planes of an image without deteriorating image quality. It then provides an introduction to steganography and its applications for secure internet communication. The document discusses the design of the steganography technique, including its high embedding capacity of up to 50% of the original image size without increasing file size. It also covers security considerations like the RSA encryption algorithm.
International Journal of Computational Engineering Research(IJCER)ijceronline
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.
Image Steganography Using HBC and RDH TechniqueEditor IJCATR
There are algorithms in existence for hiding data within an image. The proposed scheme treats the image as a whole. Here
Integer Cosine Transform (ICT) and Integer Wavelet Transform (IWT) is combined for converting signal to frequency. Hide Behind
Corner (HBC) algorithm is used to place a key at corners of the image. All the corner keys are encrypted by generating Pseudo
Random Numbers. The Secret keys are used for corner parts. Then the hidden image is transmitted. The receiver should be aware of
the keys that are used at the corners while encrypting the image. Reverse Data Hiding (RDH) is used to get the original image and it
proceeds once when all the corners are unlocked with proper secret keys. With these methods the performance of the stegnographic
technique is improved in terms of PSNR value.
Secure Image Hiding Algorithm using Cryptography and SteganographyIOSR Journals
This document proposes a secure image hiding algorithm using cryptography and steganography. It first encrypts an image using the Blowfish encryption algorithm. Then, it hides the encrypted image in a video file using least significant bit (LSB) steganography. Blowfish was chosen for encryption due to its strong security and fast processing compared to other algorithms. LSB steganography in BMP images provides high invisibility and payload capacity. The proposed method provides two layers of security by encrypting the image before hiding it, making it difficult for unauthorized users to detect or extract the hidden information.
This document provides an overview and implementation details of a Bit-Plane Complexity Segmentation Steganography (BPCS) technique. The technique allows for high capacity information hiding by replacing "noise-like
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2. Overall description of the project
• In this project we are going to propose a framework for embed text string into digital color images and the
text that is embedded is perceptually invisible to Human Visual System (HVS). Many text steganographic
systems are available that are passing the text with digital media as a form of message digest that can be
hacked easily. Here our algorithm supersedes the conventional algorithms. Instead of forming message
digest first a 32-bit secret key will be provided by the encrypter and that will be applied on the text with a
hash function. That gives us a pseudo byte stream. Now we embed that pseudo byte stream directly to
image pixels and after that the text will become the physical property of the encrypted image. On the other
end if an intruder tries to perform the extraction of the text with a wrong secret key, he will not be
succeeded. In the proposed framework the Information of Red (R), Green (G) & Blue (B) values of the
pixels of the host color image are retrieved. Subsequently the text is converted into byte stream with respect
to the ASCII values of the characters present in the text. Triggering that byte stream with the secret key and
hash function produces the pseudo byte stream. Each bit of this byte stream will be embedded in to the
LSBs of RGB bytes of the image pixels that ensure the invisibility of text in the encrypted image. The
extraction of the text is blind i.e., except the secret key nothing is needed for text decryption.
3. Digital Watermarking
• A digital watermark is a kind of marker covertly embedded in a noise-tolerant signal such as audio or
image data. It is typically used to identify ownership of the copyright of such signal. "Watermarking"
is the process of hiding digital information in a carrier signal; the hidden information should,[1] but
does not need to contain a relation to the carrier signal. Digital watermarks may be used to verify the
authenticity or integrity of the carrier signal or to show the identity of its owners. It is prominently
used for tracing copyright infringements and for banknote authentication. Like
traditional watermarks, digital watermarks are only perceptible under certain conditions, i.e. after
using some algorithm, and imperceptible anytime else.[2] If a digital watermark distorts the carrier
signal in a way that it becomes perceivable, it is of no use.[2] Traditional Watermarks may be applied
to visible media (like images or video), whereas in digital watermarking, the signal may be audio,
pictures, video, texts or 3D models. A signal may carry several different watermarks at the same time.
Unlike metadata that is added to the carrier signal, a digital watermark does not change the size of
the carrier signal.
•
4. Problem Statement
• The former consists of linguistic or language forms of hidden writing. The later, such as invisible ink, try of
hide messages physically. One disadvantage of linguistic steganography is that users must equip themselves
to have a good knowledge of linguistry. In recent years, everything is trending toward digitization. And with
the development of the internet technology, digital media can be transmitted conveniently over the network.
Therefore, messages can be secretly carried by digital media by using the watermarking techniques, and
then be transmitted through the internet rapidly.
• Watermarking is the art of hiding the fact that communication is taking place, by hiding information in
other information. 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 exists a large
variety of steganography techniques some are more complex than others and all of them have respective
strong and weak points.
• So we prepare this application, to make the information hiding more simple and user friendly.
6. • As the user Run the app, the 1st page that
opens up is Login and Registration Page.
• New User will first register himself/herself by
clicking on the Sign Up Button.
• Enters his/her Mobile No., name, email
address and password
7. AFTER REGISTERING
• After Login, A new window opens, now user has the choice of
watermarking the text by voice or by typing the encrypted text.
• If the user selects Text, a new window opens and ask the user
to browse the location of the image.
• Now he/she enters the text in the next line.
• Now the user presses the Encrypt Button and the Encryption
algorithm start running.
8. LIST VIEW
• Encrypted image gets displayed and automatically it
get stored in the Sd Card of the mobile device.
9. For Decreypting Image
• Now the receiver who wants to decrypt the image, open
the decryption application.
• Select the encrypted image from the gallery where
image is stored in an encrypted folder.
• Click on the decrypt button.
• Original image and secret message is displayed to the
receiver.
10.
11.
12. Algorithm for Embedding Text using
LSB Scheme:
Let the color host image be 'HI'. A text string'S' will be embedded in it to form
the encrypted image (EI) and again will be extracted from it with the
implemented application software. In following discussion, we propose the
algorithm for embedding text into the color host image.
[INSERT_TEXT]
• Input: Color host image (HI), Text String (S), Secret key (K).
• Output: Text encrypted image (EI).
13. Stepl: H[= getyixel_info (HI)
Step2: LI = LSB_to_zero (HI)
Step3: Ar = ASCII_chopper (S)
Step4: HASH = Hashjunc (K, LI)
Step5: Pr = Pseudo_generator (Ar, HASH)
Step6: EI= replace (LI , Pr )
14. • Function Definitions:
• Get_pixel_info(): This function will bring the binary information of R, G, B values of the
pixels of host image (HI) that forms HI.
• LSB to zero(): This function will convert the LSB of the binary values of Hj to zero to form
Lj.
• ASCII_chopper(): This function will grab the ASCII values of the characters present in the
text string (S) to form byte strem (Ar).
• Hash_func(): This function will generate a byte stream with the help of a secret key (K) and
LI to form HASH.
• Pseudo...J5enerator(): This function will perform XOR operation between Ar and HASH to
form Pr.
• Replace(): This function will replace the LSBs of L] with the individual bits of Pr that forms
encrypted image (EI).
17. • • Function Definition:
• Retrieve(): This function will retrieve LSB of blue value of each pixel of
encrypted image (EI) that forms PT, i.e., the pseudo byte stream.
• ASCII_generator() : This function will perform XOR operation between Pn
and HASH to form An. This function performs just reverse operation of
Pseudo_generator ()
• Text_generator() : This function will convert the ASCII byte stream AT' to
text string S,. Other functions are already defined during embedding text.
22. RISK ANALYSES
S. No. Risk Area # of Risk
Statement
Weights Total Weight Priority
1 Performance 6 9+9+1+9+1+3 32 1
2 Project Scope 5 9+9+1+3+6 28 2
3 Hardware 2 6+9 15 4
4 External
Inputs
3 3+1+1 5 5
5 Testing
Environment
2 3+1 4 6
6 Personal
Related
2 9+9 18 3
Testing Environment
Personal Related
Hardware
Project Scope
External Inputs
9
6
3
9
9
1
1
1
3
9
PERFORMANCE
23. CONCLUSION
• 5.1 Findings:
• Android development is primarily done in Java, which is great because it is already an established, stable
language with a large community around it in addition to the Android community itself. We were interested
in getting started with Android development, so some key resources that helped us to get off the ground,
depending on our experience with development and Java. Because there are so many disparate resources for
learning Java and the Android environment, we wanted to pull together the crucial resources to learning the
platform and running your first application.
• We were familiar with Java programming or object-oriented development concepts, so it helped us to learn
the Android platform easily. Google’s own Android Developer’s Guide assumes significant knowledge of
programming concepts, conventions, and tools. While we don’t need to be an expert, if we were not
comfortable with a command line or don’t already have Eclipse installed, their guide will not start you in a
position to be successful. There are other great getting-started guides available from good resources, but
they also expect at least some background Java knowledge before you can be productive with the tutorial
and do more than just follow provided steps.
24. • As we were learning the android development for the first time so
thenewboston.org tutorials for android development were really helpful.
• Once we figured out the essentials of Java development and were comfortable with
the concepts we started our development in ADT. The resources took us from
installing the Android SDK and Eclipse, the preferred Android development
environment, through creating a sample application and running it either in a virtual
machine on our computer or on an Android device. There is a fairly steep learning
curve here, but once we run through this exercise we had the practical skills to
begin real development.
25. Future Work
• Security of secret message could be increase more by using matlab
specific algorithms.
• Image-Image encryption and decryption of same could be done.
• Features like voice recognization, text to speech, taking image
instantly through camera could be implemented.
• Key used for encryption could be generated using modern
techniques.