A review and open issues of multifarious image steganography techniques in spatial domain

Nowadays, information hiding is becoming a helpful technique and fetch more attention due fast growth of using internet, it is applied for sending secret information by using different techniques. Steganography is one of major important technique in information hiding. Steganography is science of concealing the secure information within a carrier object to provide the secure communication though the internet, so that no one can recognize and detect it’s except the sender & receiver. In steganography, many various carrier formats can be used such as an image, video, protocol, audio. The digital image is most popular used as a carrier file due its frequency on internet. There are many techniques variable for image steganography, each has own strong and weak points. In this study, we conducted a review of image steganography in spatial domain to explore the term image steganography by reviewing, collecting, synthesizing and analyze the challenges of different studies which related to this area published from 2014 to 2017. The aims of this review is provides an overview of image steganography and comparison between approved studies are discussed according to the pixel selection, payload capacity and embedding algorithm to open important research issues in the future works and obtain a robust method

Hiding data in images using steganography techniques with compression algorithms

Steganography is the science and art of secret communication between two sides that attempt to hide the content of the message. It is the science of embedding information into the cover image without causing a loss in the cover image after embedding.Steganography is the art and technology of writing hidden messages in such a manner that no person, apart from the sender and supposed recipient, suspects the lifestyles of the message. It is gaining huge attention these days as it does now not attract attention to its information's existence. In this paper, a comparison of two different techniques is given. The first technique used Least Significant Bit (LSB) with no encryption and no compression. In the second technique, the secret message is encrypted first then LSB technique is applied. Moreover, Discrete Cosine Transform (DCT) is used to transform the image into the frequency domain. The LSB algorithm is implemented in spatial domain in which the payload bits are inserted into the least significant bits of cover image to develop the stego-image while DCT algorithm is implemented in frequency domain in which the stego-image is transformed from spatial domain to the frequency domain and the payload bits are inserted into the frequency components of the cover image.The performance of these two techniques is evaluated on the basis of the parameters MSE and PSNR

A Study of Data Security on E-Governance using Steganographic Optimization Algorithms

Steganography has been used massively in numerous fields to maintain the privacy and integrity of messages transferred via the internet. The need to secure the information has augmented with the increase in e-governance usage. The wide adoption of e-governance services also opens the doors to cybercriminals for fraudulent activities in cyberspace. To deal with these cybercrimes we need optimized and advanced steganographic techniques. Various advanced optimization techniques can be applied to steganography to obtain better results for the security of information. Various optimization techniques like particle swarm optimization and genetic algorithms with cryptography can be used to protect information for e-governance services. In this study, a comprehensive review of steganographic algorithms using optimization techniques is presented. A new perspective on using this technique to protect the information for e-governance is also presented. Deep Learning might be the area that can be used to automate the steganography process in combination with other method

Improved Performance of Image Steganography Technique using Quantum Scrambling and Pixel‘s Intensity Adjustment

Steganography is the art for hidden communication. It provides the solution for secrete data communication. Trustworthy steganography techniques should provide the data protection when it is being transferred and fulfill the principles of security. This dissertation proposed a efficient steganography technique based on Quantum Hilbert image Scrambling (QHIS), alpha blending operation, and genetic algorithm based pixel’s least significant bit swapping. Every steganography technique has two processes; encoding and decoding. In the encoding process of proposed steganography technique, initially secrete image is scrambled using QHIS then apply alpha blending (i.e type of mixing) operation on both the scrambled image and cover image, which results stego image. The stego image picture quality can be improved by allying GA based pixel’s adjustment. The strength of proposed steganography technique is shown in experimental results by testing it on different image quality parameters (i.e. Peak Signal to Noise Ratio, Normalized Cross Correlation, Average Difference, Maximum difference, Structural contents)

A review on structured scheme representation on data security application

With the rapid development in the era of Internet and networking technology, there is always a requirement to improve the security systems, which secure the transmitted data over an unsecured channel. The needs to increase the level of security in transferring the data always become the critical issue. Therefore, data security is a significant area in covering the issue of security, which refers to protect the data from unwanted forces and prevent unauthorized access to a communication. This paper presents a review of structured-scheme representation for data security application. There are five structured-scheme types, which can be represented as dual-scheme, triple-scheme, quad-scheme, octal-scheme and hexa-scheme. These structured-scheme types are designed to improve and strengthen the security of data on the application

Security during Transmission of Data Using Web Steganography

The project entitled Steganography is to give security to a content record. Since the security of the data over the internet has raised a concern to the people. There are many methods to protect the data from going into the access of unauthorized people. Steganography can be used along with the encryption technique to secure the data. Steganography is used to hide the data or a secret message whereas cryptography is used to encrypt the message and make it difficult the people to read. So, the proposed system is to combine both steganography and cryptography for the secret data transmission. The transmission can be done by using an image as a carrier of data. This paper uses high-performance BMP steganography along with a substitution encryption methodology. The approach that is used here is IDEA (International Data Encryption Algorithm) algorithm which is used for encryption. The IDEA algorithm works as follows, it will take the TEXT document and mystery key as the input and gives the encrypted and BMP picture as the output for the sender side. There can additionally be “Voice Recognition System” framework so that it can use voice to decrypt the message. This is the future expansion or scope of this paper

Online Secure Payment system using Steganography and Cryptography

Internet has now provided the means for us to establish communication like never before ranging right from accurate representations to high speed data transmission. With the new technological innovations arriving everyday, one that reached the users is online shopping but it came with its own share of boon and bane. One of the imminent threat is that of intrusion and leak. Secret information can be hidden into sources of information. These information files like audio, video,text or image helps us to set up an invisible type of communication known as Steganography. In our project, we have used image steganography where we hide data inside stego image. Identity theft needs to be prevented, hence we propose a new approach by providing information that's only necessary for transaction while shopping online. This ensures privacy and personal data safeguarding for the user