Image secret sharing using Shamir's scheme with Steganography
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This document discusses using Shamir's secret sharing algorithm and steganography to securely share secret images. The objectives are to provide more security for image communication while achieving transparency and preventing tampering. Shamir's algorithm is used to split images into shares, and steganography techniques like LSB encoding are used to hide the shares in cover images. This allows the shares to be transmitted securely without drawing attention. Potential applications include secure medical image sharing and military photography. The document reviews relevant literature and provides an example of a secret image being split and hidden in stego images. Future work could improve reconstruction quality and use additional cryptography techniques for enhanced security.
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Multiple Secret Image Sharing scheme is a protected approach to transmit more than one secret image over a communication channel. Conventionally, only single secret image is shared over a channel at a time. But as technology grew up, there is a need to share more than one secret image. A fast (r, n) multiple secret image sharing scheme based on discrete haar wavelet transform has been proposed to encrypt m secret images into n noisy images that are stored over different servers. To recover m secret images r noise images are required. Haar Discrete Wavelet Transform (DWT) is employed as reduction process of each secret image to its quarter size (i.e., LL subband). The LL subbands for all secrets have been combined in one secret that will be split later into r subblocks randomly using proposed high pseudo random generator. Finally, a developed (r, n) threshold multiple image secret sharing based one linear system has been used to generate unrelated shares. The experimental results showed that the generated shares are more secure and unrelated. The size reductions of generated shares were 1:4r of the size of each of original image. Also, the randomness test shows a good degree of randomness and security.
V01 i010411
A Novel Visual Cryptographic Scheme Using Floyd Steinberg Half Toning and Block Replacement Algorithms Nisha Menon K – PG Scholar,
Minu Kuriakose – Assistant Professor,
Department of Electronics and Communication,
Federal Institute of Science and Technology, Ernakulam, India
Securing Image Steganogarphy Based on Visual Cryptography And Integer Wavelet...
The document proposes a new method for securing image steganography using visual cryptography and integer wavelet transform. The method embeds a secret image into a cover image in the following steps: 1) Apply (2 out of 2) visual cryptography to the secret image to generate two secret shares. 2) Apply a two-level integer wavelet transform to the blue channel of the cover image, resulting in four sub-bands. 3) Embed each secret share into one of the four sub-bands. 4) Combine the channels to generate the stego-image. Extraction requires applying the same transforms to the stego-image to recover the secret shares and reconstruct the secret image, without needing the original cover image. The method
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.
A novel steganographic scheme based on
In the present scenario the use of images increased extremely in the cyber world so that we can
easily transfer data with the help of these images in a secured way. Image steganography becomes
important in this manner. Steganography and cryptography are the two techniques that are often confused
with each other. The input and output of steganography looks alike, but for cryptography the output will be
in an encrypted form which always draws attraction to the attacker. This paper combines both
steganography and cryptography so that attacker doesn’t know about the existence of message and the
message itself is encrypted to ensure more security. The textual data entered by the user is encrypted using
AES algorithm. After encryption, the encrypted data is stored in the colour image by using a hash based
algorithm. Most of the steganographic algorithms available today is suitable for a specific image format
and these algorithms suffers from poor quality of the embedded image. The proposed work does not corrupt
the images quality in any form. The striking feature is that this algorithm is suitable for almost all image
formats e.g.: jpeg/jpg, Bitmap, TIFF and GIFF.
Analysing secure image secret sharing schemes based on steganography
This document discusses secure image secret sharing schemes based on steganography. It provides background on secret sharing, visual cryptography, and steganography techniques like least significant bit insertion, adaptive MELSBR method, and bit plane complexity segmentation. The document analyzes how combining secret sharing and steganography can make secret sharing schemes more secure by embedding shares in cover images, making them less obvious to attackers. It reviews few existing methods that combine secret sharing and information hiding and identifies limitations like low reliability, large shadow size, and constraints on secret image size. The intent of the paper is to explain how secret sharing combined with steganography improves security and to guide selection of a scheme for different needs.
Image Steganography. Image Steganography. Image Steganography
1. The document discusses image steganography techniques for hiding secret messages in digital images. It describes how the least significant bits of pixels can be modified to embed data without noticeable changes to the image.
2. The least vital bit (LSB) insertion method is described as a common approach, where the least significant bit of bytes in an image is altered to bits of a hidden message.
3. For security, the document recommends using both steganography and cryptography together. Encrypting the message before embedding it into an image provides multiple layers of protection.
F42022628
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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.
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.
Welcome to International Journal of Engineering Research and Development (IJERD)
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IRJET-Design and Fabrication of Automatic Plastic Cup Thermoforming Machine
This document proposes a new encryption technique that combines visual cryptography and steganography for added security layers. A secret text message is first hidden in a cover image using steganography. The stego image is then sliced into shares using visual cryptography and transmitted over an open system. At the receiver end, the shares are stacked to reconstruct the cover image containing the hidden message, which can then be extracted using steganography. The technique aims to address issues like pixel expansion and memory requirements of previous methods by using unexpanded shares. It provides a less complex encryption/decryption system compared to other approaches.
Survey on Different Image Encryption Techniques with Tabular Form
Rapid growth of digital communication and multimedia application increases the need of security and it becomes an important issue of communication and storage of multimedia. Image Encryption is one of the techniques that are used to ensure high security. Various fields such as medical science military in which image encryption can be used. Recent cryptography provides necessary techniques for securing information and protective multimedia data. In last some years, encryption technology has been developed quickly and many image encryption methods have been used to protect confidential image data from illegal way in. Within this paper survey of different image encryption techniques have been discussed from which researchers can get an idea for efficient techniques to be used.
A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...
A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...IJCSIS Research Publications
Cloud computing is a powerful, flexible, cost
efficient platform for providing consumer IT services
over the Internet. However Cloud Computing has
various level of risk because most important
information is maintained and managed by third party
vendors, which means harder to maintain security for
user’s data .Steganography is one of the ways to provide
security for secret data by inserting in an image or
video. In this most of the algorithms are based on the
Least Significant Bit (LSB), but the hackers easily
detects it embeds directly. An Efficient and secure
method of embedding secret message-extracting
message into or from color image using Artificial
Neural Network will be proposed. The proposed
method will be tested, implemented and analyzed for
various color images of different sizes and different
sizes of secret messages. The performance of the
algorithm will be analyzed by calculating various
parameters like PSNR, MSE and the results are good
compared to existing algorithms.novel Approach For Data Hiding by integrating Steganography and Extended Visu...
This document proposes a system that combines visual cryptography and steganography to provide multiple levels of security. It aims to overcome the limitations of single-level hiding approaches. The proposed system first encrypts a secret message using RSA encryption and then hides the cipher text in an image using steganography. This stego image is transmitted along with a cover video. The receiver extracts the stego image from the video and decrypts the cipher text using their private key to retrieve the original secret message. The system implements visual cryptography to allow decryption through human vision without requiring any computation.
Genetic Algorithm based Mosaic Image Steganography for Enhanced Security
The document summarizes previous work on mosaic image steganography and proposes using genetic algorithms and key-based random permutation to improve the technique. Mosaic image steganography hides a secret image by dividing it into fragments and embedding the fragments into a target image to create a mosaic. Previous methods required a large database of images or allowed only arbitrary target image selection. The proposed method uses genetic algorithms to generate a mapping sequence for embedding tile images without a database, improving clarity and reducing computational complexity. It also applies a key-based random permutation to the mapping sequence for enhanced security and robustness. The mosaic image can be recovered using the same key and mapping sequence, making it a lossless data hiding method.
Biometric Hashing technique for Authentication
This document summarizes a student project on bio-hashing authentication techniques. It includes an outline of topics to be covered such as types of cryptography, image encryption methods, cellular automata techniques like Langton's ant, and algorithms like Blowfish. The project is mentored by Dr. Debasis Giri and includes four students - Ankit Agarwal, Tuhin Kundu, Bachu Paul, and Anish Kumar. It aims to introduce bio-hashing authentication, discuss related work, and propose improvements such as generating a visually meaningful encrypted image.
IRJET- Machine Learning Application for Data Security
1) The document proposes a machine learning approach for improving data security through steganography. It hides secret messages in images by modifying pixel values and uses machine learning models like SVM and DNN for smoothing distorted images and retrieving lost data.
2) The method first appends a secret text file onto an image, then performs image-to-image steganography to provide additional security. It decrypts the stego images and uses an SVM for classification and noise removal, along with a DNN network model.
3) Experimental results show that as the size of the hidden text file increases, more noise is introduced, but the machine learning models can effectively smooth the images and retrieve the lost message bits.
High Capacity and Security Steganography Using Discrete Wavelet Transform
The secure data transmission over internet is achieved using Steganography. In this paper High Capacity and Security Steganography using Discrete wavelet transform (HCSSD) is proposed. The wavelet coefficients of both the cover and payload are fused into single image using embedding strength parameters alpha and beta. The cover and payload are preprocessed to reduce the pixel range to ensure the payload is recovered accurately at the destination. It is observed that the capacity and security is increased with acceptable PSNR in the proposed algorithm compared to the existing algorithms
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International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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Reversible Multiple Image Secret Sharing using Discrete Haar Wavelet Transform
Reversible Multiple Image Secret Sharing using Discrete Haar Wavelet Transform
Securing Image Steganogarphy Based on Visual Cryptography And Integer Wavelet...
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Reversible Data Hiding in Encrypted Image: A Review
Reversible Data Hiding in Encrypted Image: A Review
Analysing secure image secret sharing schemes based on steganography
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Welcome to International Journal of Engineering Research and Development (IJERD)
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IRJET-Design and Fabrication of Automatic Plastic Cup Thermoforming Machine
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Survey on Different Image Encryption Techniques with Tabular Form
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A SECURE STEGANOGRAPHY APPROACH FOR CLOUD DATA USING ANN ALONG WITH PRIVATE K...
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novel Approach For Data Hiding by integrating Steganography and Extended Visu...
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Genetic Algorithm based Mosaic Image Steganography for Enhanced Security
Genetic Algorithm based Mosaic Image Steganography for Enhanced Security
IRJET- Machine Learning Application for Data Security
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are ultimately uniformly bounded (UUB). Finally, the effectiveness of the constructed algorithm is demonstrated through simulation and experimental results.
Simulation and experimental results show that the proposed controller is effective with small synchronous tracking errors, and the chattering phenomenon is
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A hierarchical digital twin of a Naval DC power system has been developed and experimentally verified. Similar to other state-of-the-art digital twins, this technology creates a digital replica of the physical system executed in real-time or faster, which can modify hardware controls. However, its advantage stems from distributing computational efforts by utilizing a hierarchical structure composed of lower-level digital twin blocks and a higher-level system digital twin. Each digital twin block is associated with a physical subsystem of the hardware and communicates with a singular system digital twin, which creates a system-level response. By extracting information from each level of the hierarchy, power system controls of the hardware were reconfigured autonomously. This hierarchical digital twin development offers several advantages over other digital twins, particularly in the field of naval power systems. The hierarchical structure allows for greater computational efficiency and scalability while the ability to autonomously reconfigure hardware controls offers increased flexibility and responsiveness. The hierarchical decomposition and models utilized were well aligned with the physical twin, as indicated by the maximum deviations between the developed digital twin hierarchy and the hardware.
一比一原版(UMich毕业证)密歇根大学|安娜堡分校毕业证成绩单专业办理
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22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
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Image secret sharing using Shamir's scheme with Steganography
- 1. Secret Image Sharing Guided By:- Prof. Dr.Sonali Patil.
- 2. ----Problem Statement---- To Study image secret sharing using Shamir’s secret sharing algorithm and Steganography .
- 3. OBJECTIVES Providing more security for image communication. To achieve transparency, authority (resistance to various image tampering and forgery methods), and high capacity of the hidden data.
- 4. Schemes are important tools in cryptography and they are used as a building box in many secure protocols,threshold cryptography, access control, attribute-based Encryption. Secret image sharing has become a key technology for digital images in secured storage and confidential transmission. MOTIVATION
- 5. MOTIVATION Image data is not secure over network and social networking sites. Drawbacks in various secret sharing algorithms.
- 6. Total image security and confidentiality over transmission. Hindrance to Image tampering. Expected Outcome
- 7. LITERATURE SURVEY Shamir’s Algorithm:- Shamir developed a sharing method (a (t; n)threshold scheme, t/n) for sharing a secret image among n participants, such that any t participants could cooperate to reconstruct the secret image, while t−1 or fewer participants could not.
- 8. LITERATURE SURVEY Why Steganography??? 1)Share images look like random noise and thus draw attention of the malicious users. 2)Confidentiality of the shares is realized by Steganography.
- 9. LITERATURE SURVEY What is Steganography:- Steganography is the method used to hide shares into natural looking cover images. The dealer should select n natural looking cover images of size 2W×2H to hide a W×H secret image for a (k, n) secret sharing scheme.
- 11. LITERATURE SURVEY LSB Method:- 1)LSB method stands for “Least Significant Bit Method”. 2) This method is used for embedding the shares into the host images. 3)Share images are processed pixel by pixel during embedding.
- 12. LITERATURE SURVEY LSB Method continues….. 3)Share image pixel values are embedded into corresponding 2×2 pixel groups called cover blocks in cover image. 4)Therefore, two LSBs of each pixel in th corresponding cover block is used to hide the shared pixel with eight bits.
- 13. APPLICATIONS 1)Medical applications such telediagnosis and to store electronic patient record (EPR) in the medical image by steganography. 2)Miltary applications such as, The photographers who work in enemy areas can use this system to transmit photographs.
- 14. SECRET IMAGE SHAREING A medical image to share
- 15. SHARES ARE GENERATED USING ALGORITHM:-
- 16. STEGO IMAGES FOR THE SHARES:-
- 17. FUTURE SCOPE Secret image sharing with Steganography is that current space of analysis wherever heap of scope exists. The combination of both provides higher levels of security to the information being transmitted.
- 18. FUTURE SCOPE The special attention is given to improve the quality of the reconstructed image. Cryptography techniques like RSA, AES and hash functions can also be used with steganography to provide more security.
- 19. REFERENCES 1)Sharing and hiding secret images with size constraint Yu-Shan Wu, Chih-Ching Thien, Ja-Chen Lin∗ 2)Shamir A. How to share a secret. Communication of the ACM 1979;22(11):612–3. 3)Medical image security and EPR hiding using Shamir’s secret sharing scheme Mustafa Ulutas, Güzin Ulutas , Vasif V.∗ Nabiyev
- 20. PRESENTED BY:- SHRUTI T KULKARNI