Steganography Technique Research Articles

Steganalysis Bukti Digital pada Media Storage Menggunakan Metode GCFIM

Steganography is an anti-forensic technique that allows a criminal to hide information in other messages, so that during an examination it will be difficult to obtain evidence of the crime information. Therefore we need a technique to detect hidden messages in the data. This technique is known as steganalysis. Steganalysis is an anti-steganography science whose main purpose is to study the hiding characteristics of data on digital media and detect the existence of secret messages that are hidden using steganography techniques. The purpose of this study is to apply steganalysis techniques to detect the presence of messages that are hidden in other messages by using the forensic method, namely Generic Computer Forensic Investigation Model (GCFIM). In this study, the process of inserting steganographic messages using the Hiderman application, while the steganalysis process uses the StegSpy application. The results obtained in this study were the process of steganalysis using the help of the StegSpy application proved to be successful in detecting the presence of hidden messages in the five files that were scanned by steganographic messages.

Efficient security and capacity techniques for Arabic text steganography via engaging Unicode standard encoding

Steganography is the science of hiding information messages in groups of irrelevant data possibly of another form. Despite of several Arabic text steganography techniques that have been proposed in the literature, there are only limited number of researches that showed high steganography quality in terms of capacity and security. In this paper, we present a novel approach for hiding the secret bits within Arabic text by engaging Unicode standard. Our methods rely on the use of contextual form of Arabic characters to hide certain secret bits showing interesting feedback. Moreover, extra characters such as Zero-width-Joiner or Zero-width-without-joiner, Kashida, and MMSP, are all also used to further enhance the capacity, while preserving acceptable security. Our testing results show that these proposed techniques outperform most reviewed existing methods to be practical, i.e. in order of both efficiency measures of capacity and security. Moreover, our techniques can be widely adopted due to the use of Unicode, in Arabic as well as Urdu Languages, which is opening the research field for the encoding standards to be utilized differently benefitting the ongoing evolving World’s text writing systems.

Hiding the Type of Skin Texture in Mice based on Fuzzy Clustering Technique

A substantial matter to confidential messages' interchange through the internet is transmission of information safely. For example, digital products' consumers and producers are keen for knowing those products are genuine and must be distinguished from worthless products. Encryption's science can be defined as the technique to embed the data in an images file, audio or videos in a style which should be met the safety requirements. Steganography is a portion of data concealment science that aiming to be reached a coveted security scale in the interchange of private not clear commercial and military data. This research offers a novel technique for steganography based on hiding data inside the clusters that resulted from fuzzy clustering. The approach has been employed to use Fuzzy C-Mean clustering (FCM) to find the robust image regions for hiding the type of skin texture features in mice. The steganography was implemented using Least Significant Bit (LSB) method.

Design of Steganographic Applications in A Processed Image using Algorithm Dynamic Markov Compression

Confidential text data is an important matter that needs to be protected and kept confidential. Secret text data is a treasure where many people who want to try to find out first find out its contents. Therefore it is not uncommon for crimes to appear intentionally committed by irresponsible people. With the increasing number of people who commit crimes who deliberately steal confidential data and damage confidential text data so that it can harm certain parties. There have been several attempts to deal with the issue of security of confidential data sent over the internet, including using cryptographic and steganographic techniques

Refining image steganography distribution for higher security multimedia counting-based secret-sharing

Counting-based secret sharing is becoming a vital efficient multimedia technique for raising the security of sensitive data especially when collective access to data are essential. Secret sharing distributes shares to participants forcing their joint availability in order to give permission. The share keys of the system deserve to be remembered and highly protected against intruders, presenting a challenging issue, noticing that shares are normally produced without giving participants any preference. Therefore, this research adds image steganography technique to the counting-based secret-sharing system to gain more applicable security. The paper proposes redistribution of LSB image steganography to embed share keys in colour cover image. The proposed method ensured that the shares hiding locations differ within cover images to increase the level of security. The paper analysis show that stego-image quality and security is attractive. It showed interesting results in terms of performance and payload capacity motivating this research to be a direction for coming improvements.

A novel minimal distortion-based edge adaptive image steganography scheme using local complexity

The advantage of spatial domain image steganography techniques is their capacity to embed high payloads of data by directly modifying image pixels. While these techniques have a high-embedding capacity, they often create visual and statistical distortion in smoother regions. Most existing edge steganography techniques divide an image into blocks and insert data by processing the blocks in a linear order, but these method also has multiple drawbacks. First, if the selected block has an insufficient number of edge pixels, it may result in multiple blocks being processed. Second, at high embedding rates, the method creates severe distortion as multiple message bits are hidden in edge pixels and surrounding non-edge pixels without analyzing the statistical dependencies and correlation of pixels, compromising data security. The aim of the proposed method is to construct a Block-wise Edge Adaptive Steganography Scheme (BEASS) using textured regions, particularly edges and surrounding pixels. This scheme dynamically chooses the region to embed messages using a local complexity measure of Standard Deviation. It offers high payload, minimal distortion embedding by hiding three message bits into edge pixels using the minimal Mean Square Error to determine the embedding capacity of neighboring non-edge pixels within the block to preserve the statistical dependencies. The practical merit of this approach was validated and compared with existing algorithms, and experimental results find that the proposed method surpasses IQM tests, achieves a high PSNR of61 $\sim $ 65, proves to be robust against kurtosis and skewness distortion, resists histogram attack, RS steganalysis and high dimensional ensemble classifier at 80% block modifications.

Image Steganography Technique by Using MSUSAN Algorithm

Image Steganography Technique by Using MSUSAN Algorithm

DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks.

Recent advances in next-generation sequencing technologies have led to the successful insertion of video information into DNA using synthesized oligonucleotides. Several attempts have been made to embed larger data into living organisms. This process of embedding messages is called steganography and it is used for hiding and watermarking data to protect intellectual property. In contrast, steganalysis is a group of algorithms that serves to detect hidden information from covert media. Various methods have been developed to detect messages embedded in conventional covert channels. However, conventional steganalysis algorithms are mostly limited to common covert media. Most common detection approaches, such as frequency analysis-based methods, often overlook important signals when directly applied to DNA steganography and are easily bypassed by recently developed steganography techniques. To address the limitations of conventional approaches, a sequence-learning-based malicious DNA sequence analysis method based on neural networks has been proposed. The proposed method learns intrinsic distributions and identifies distribution variations using a classification score to predict whether a sequence is to be a coding or non-coding sequence. Based on our experiments and results, we have developed a framework to safeguard security against DNA steganography.

Comparative Analysis of Steganography Technique for Information Security

Comparative Analysis of Steganography Technique for Information Security

Securing Data in Internet of Things (IoT) using Cryptography and Steganography Techniques

Securing Data in Internet of Things (IoT) using Cryptography and Steganography Techniques

Cryptography and Steganography Techniques in Video

Secure data transmission over the unsecured internet is an important aspect in communication. In recent times, data piracy, unauthorized access, loss of crucial information has been one of the important concern in secure communication of data. To provide security over data transmission, multiple techniques are provided each having its own benefits such as cryptography, steganography and watermarking. Cryptography is the technique for modification of data for secured transmission in an unreadable format. Steganography is the process of hiding the cover file with another file and transmitting the cover file without knowing the existence of hidden message. Watermarking is protection technique used to shield the information from intruders. Various combinations of cryptography and steganography is used to make data more secure. Such techniques differ in various aspects which are load capacity, security, efficiency, simplicity, and much more. Watermarking is the most used technique used for copyright protection in media files in recent times while cryptography and steganography are used to protect the data during communication so that the original data cannot be altered. In this paper, various techniques of cryptography and steganography are discussed which are used in the project.

Information Security using Cryptography and Image Steganography

Typically, hackers are ready to hack the confidential documents for their vested interests. The main challenge is to construct a secure relation between the secret message and image quality. To avoid dangerous illegal attacks by the third person, a scheme is proposed to have a combination of cryptography and image steganography techniques. This scheme will enable the security, secret message and image cannot be extracted. The International Data Encryption Algorithm (IDEA) cryptographic algorithms and Discrete Cosine Transform (DCT) based steganography algorithm is chosen for the functionality. Cryptography is used to encrypt and decrypt the document. Steganography to hide document inside an image with increasing payload for the secure transmission of confidential data across the internet. In this paper we present a single application to hide the information by the sender, which is so important document and confidential in the form of files, it will be invisible to unauthorized person. The results of a suggested scheme with respect to PSNR of 90.06 dB with a payload of 52,400 bytes of information in an image.

A forward email based high capacity text steganography technique using a randomized and indexed word dictionary

Text steganography is inherently difficult due to minimal redundant information space to hide secret payload. The same fact limits the hiding capacity and security too. In this study, a novel technique has been proposed using a randomized indexed word dictionary, and a list of email addresses to increase the hiding capacity and security. A forward email platform has been used as the cover, and email addresses in the carbon copy (CC) field contain secret data that are encoded using a randomized index-based word dictionary. The email username list and indexed word dictionary are both pre-shared between the communicating parties. But during every new communication, a random bitstream (temporary stego-key) is generated from the system time and communicated separately using public-key cryptography. This temporary stego-key is used to randomize the index values of the words in the dictionary. Most of the existing state-of-the-art techniques provide a hiding capacity of 6–10%. The proposed scheme achieves a capacity of 12.17% using some common secret text and email body text (cover text) as used in all other studies. The proposed technique provides higher hiding capacity and security by randomizing the word indexes every time using temporary stego-key. It is also free from statistical attacks, OCR based attacks, and does not depend on the use of any particular text processor.

Image based Steganography in Cryptography implementing different Encryption-Decryption Algorithm

Steganography is data hidden within data. Steganography is an encryption technique that can be used along with cryptography as an extra-secure method in which to protect data. Steganography techniques can be applied to images, a video file or an audio file. Steganography is the practice of concealing a file, message, image, or video within another file, message, image, or video. 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. 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 they are, arouse interest and may in themselves be incriminating in countries in which encryption is illegal. Whereas cryptography is the practice of protecting the contents of a message alone, steganography is concerned both with concealing the fact that a secret message is being sent and its contents. 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.

Steganography Technique for Embedding a Variety of Binary Images inside a Grayscale Image

Because of the rapid development and use of the Internet as a communication media emerged to need a high level of security during data transmission and one of these ways is "Steganography". This paper reviews the Least Signification Bit steganography used for embedding a variety of related binary images in a single grayscale image rather than traditional methods of embedding information which is embedded one image in another image (cover image). First three images represent the secret images which are used for hiding from unauthorized users while other images used for making more difficult and more secret watermark. In this paper, we have merged both methods of hiding and watermark. Instead of either creating a watermark or hiding secret data in a grayscale image, we can use both of them at the same image to take advantage of both the hiding and watermark properties at the same time. The findings of the research were the results as a new watermark composed of multiple related binary images and hidden secret multiple binary images inside.

Design Securing Online Payment Transactions Using Stegblock Through Network Layers

The aim of this work is designing a safe online payment activities scheme using steganography techniques with stegblock concept. These works are implemented at the computers network layers. The stegblock will convert the transactions data which sent among network into other data’s form, it means the data such as ID Number, Account Number, Passwords and others are converted with other data called cover. Finally, the system sends the cover without the real data, it just represented data and able to read by the receiver. The result shows that this design provides data security, undetectability, and integrity for payment transactions using networks.

Protecting Data By Socket Programming Steganography

This paper aims to observe the techniques and methods of securing data using socket programming steganography. This work observes the development of the art of steganographic techniques which focus on computer network devices by visiting articles which published in journals and proceedings. The results obtained that the development of steganography is not only on data which stored on local disk, but also utilizes computer network devices to transmitting the data. Steganography techniques have several modifications in the algorithm to secure data on the network using stegnography that uses socket programming. This results show the evolutions of steganography techniques on network devices for better data security.

Review: A comparison Steganography Between Texts and Images

The steganography is branch from information hiding, the speed of evolve communications Internet and networks in wide areas in the world. This evolve make to most people tends for work in security data through transmit across networks from sender to receiver. The major aim from steganography uses to protect the substantial data, such as text, image, video, and audio during transmit between sender and receiver.The problems in steganography, because the people to increase uses internet in the present time therefore, needs to protected information during transmitted from sender to receiver. And solve this problem in steganography, in here many techniques is used in this article.This article offers comparing in steganography techniques between texts and Images, when hiding secret message in texts and Images. In this study, several techniques it uses by researcher in domain of steganography.The outcomes to obtained comparing between steganography texts or images. The results that shown the compression between text and image steganography are good and efficiency together without sensitive by attackers.

An Improved AES Key Generation in Audio Steganography

The higher Internet use also affects the level of information security in the digital world. Nowadays, many users send private messages or even secret messages through the Internet. This has an impact on the increasing number of illegal people who try to see and even change the information for personal gain. There is a solution to this problem by inserting a secret message in a file such as images, audio, or video. To increase the level of security, secret messages are encrypted first using cryptographic techniques. In this paper we propose a method for developing key generation in audio steganography techniques using the AES (Advanced Encryption Standard) algorithm. We use additional parameters to create the AES key, i.e. the user’s identity. The user’s identity is entered into the key table which is then randomly selected by the system when the user wants to get the key. There is a combination process and hash function to add complexity to the key. The performance of the proposed method is tested based on computing time and audio signal strength. The test results show that the message inserted in the audio file does not affect the file size, but rather affects the audio signal strength. Audio signals that experience additional data are at frequencies of 15 to 20 kHz and for other frequencies only experience additional noise.

An Image Steganography Algorithm using Fractional Discrete Wavelet Transform with Advanced Encryption System

The research constitutes a distinctive technique of steganography of image. The procedure used for the study is Fractional Random Wavelet Transform (FRWT). The contrast between wavelet transform and the aforementioned FRWT is that it comprises of all the benefits and features of the wavelet transform but with additional highlights like randomness and partial fractional value put up into it. As a consequence of the fractional value and the randomness, the algorithm will give power and a rise in the surveillance layers for steganography. The stegano image will be acquired after administrating the algorithm which contains not only the coated image but also the concealed image. Despite the overlapping of two images, any diminution in the grade of the image is not perceived. Through this steganographic process, we endeavor for expansion in surveillance and magnitude as well. After running the algorithm, various variables like Mean Square Error (MSE) and Peak Signal to Noise ratio (PSNR) are deliberated. Through the intended algorithm, a rise in the power and imperceptibility is perceived and it can also support diverse modification such as scaling, translation and rotation with algorithms which previously prevailed. The irrefutable outcome demonstrated that the algorithm which is being suggested is indeed efficacious.