Secret Text Research Articles

Hiding text in speech signal using K-means, LSB techniques and chaotic maps

In this paper, a new technique that hides a secret text inside a speech signal without any apparent noise is presented. The technique for encoding the secret text is through first scrambling the text using Chaotic Map, then encoding the scraped text using the Zaslavsky map, and finally hiding the text by breaking the speech signal into blocks and using only half of each block with the LSB, K-means algorithms. The measures (SNR, PSNR, Correlation, SSIM, and MSE) are used on various speech files (“.WAV”), and various secret texts. We observed that the suggested technique offers high security (SNR, PSNR, Correlation, and SSIM) of an encrypted text with low error (MSE). This indicates that the noise level in the speech signal is very low and the speech purity is high, so the suggested method is effective for embedding encrypted text into speech files.

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

Text hiding in text using invisible character

Steganography can be defined as the art and science of hiding information in the data that could be read by computer. This science cannot recognize stego-cover and the original one whether by eye or by computer when seeing the statistical samples. This paper presents a new method to hide text in text characters. The systematic method uses the structure of invisible character to hide and extract secret texts. The creation of secret message comprises four main stages such using the letter from the original message, selecting the suitable cover text, dividing the cover text into blocks, hiding the secret text using the invisible character and comparing the cover-text and stego-object. This study uses an invisible character (white space) position of in the cover text that used to hide the the secrete sender masseges. The experiments results show that the suggested method presents highly secret due to use the multi-level of complexity to avoid the attackers.

The Image Steganographic Method to Hide the Secret Text in an Image Using Spiral Pattern and Cryptographic Technique to Increase the Complexity for Eavesdropper

The Image Steganographic Method to Hide the Secret Text in an Image Using Spiral Pattern and Cryptographic Technique to Increase the Complexity for Eavesdropper

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.

Parallel Video Steganographic Method over Multi-core Processors

Steganography refers to the manner in which secret data is concealed under a non-secret data. This non-secret data is known to be a digital form of media that are used as a cover. There are extensive researches regarding the images of steganographic methods. Nevertheless, the cover files did not receive enough attention. This study aims at providing a more inclusive approach for video steganography method. The difference in video steganography lies in the fact that they allow both sender and receiver to exchange hidden data through the matching between the secret text and the video frame RGB channels values presented in pixels, and manageable through different sizes of video files. The traditional manner contains the secret data under the video itself. The proposed method is designed over multithreading technique (parallelized method) for performance enhancement purposes. The results show that this developed steganographic method is more secure compared to the traditional steganographic method. In addition, results show that parallelism has impacted the proposed method positively.

OBJECT ORIENTED METRIC BASED ANALYSIS OF TEXT TRANSMISSION IN E-LEARNING THROUGH NATURAL LANGUAGE STEGANOGRAPHY

E-learning is an application of information and communication technology in the field of learning. Through steganography the e-learning institution can provide security to other participants of e-learning like teacher and learner. Here we use text steganography with modified SNOW algorithm while passing secret texts from the administrator to the learner in an e-learning system. In this paper, we calculate the object oriented metric based analysis of CK and MOOD metrics of our proposed model, which ensures the advantages of code redundancy, code reusability, and cost effectiveness and so on.

UN-Substituted Video Steganography

Steganography is the art of concealing the existence of a secret data in a non-secret digital carrier called cover media. While the image of steganography methods is extensively researched, studies on other cover files remain limited. Videos are promising research items for steganography primitives. This study presents an improved approach to video steganography. The improvement is achieved by allowing senders and receivers exchanging secret data without embedding the hidden data in the cover file as in traditional steganography methods. The method is based mainly on searching for exact matches between the secret text and the video frames RGB channel pixel values. Accordingly, a random key-dependent data is generated, and Elliptic Curve Public Key Cryptography is used. The proposed method has an unlimited embedding capacity. The results show that the improved method is secure against traditional steganography attacks since the cover file has no embedded data. Compared to other existing Steganography video systems, the proposed system shows that the method proposed is unlimited in its embedding capacity, system invisibility, and robustness. The system achieves high precision for data recovery in the receiver. The performance of the proposed method is found to be acceptable across different sizes of video files.

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Text Steganography has become a dominant research field in information sharing domain and many researches are being conducted to strengthen this area. Researches around the amount of secret message that could be stored in a given cover image is always critical for any steganography technique used to share the secret text. This research paper proposes an enhanced Least Significant Bit (eLSB) embedding technique in steganography, through which the quality of cover image is improved, when compared to typical LSB algorithm used in steganography. The proposed method employs in spatial domain and it does the secret message encoding in two phases. The first phase generates the metadata and embeds the header information in first few bytes of cover image and then the following phase takes care of processing secret message and storing the secret message in cover image using an optimized way, which is possible through analyzing secret text’s character sequences. Proposed work results into occupying lesser space for the given secret text in cover image and hence leads to the better stego image quality than existing LSB algorithms. As the algorithm works on optimizing secret message during embedding phase itself, this technique enables high capacity embedding rate, additional security due to secret message preprocessing and enhanced cover image quality. The results are compared with LSB algorithm and compared to Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Root Mean Square Error (RMSE) values to prove the proposed algorithm performs better on secret text embedding in cover image.

Optimal Secret Text Compression Technique for Steganographic Encoding by Dynamic Ranking Algorithm

In this research work, proposing an algorithm, which dynamically selects the best compression algorithms among several compression techniques for steganography encoding. Ranking and selection of best algorithm for each and every steganographic transaction is based on several factors like type of cover image being used for the transmission, length of the secret message, type of the message, compression ratio of the secret message being shared, encoding ratio of secret message over the medium etc., The proposed algorithm dynamically ranks and selects the right compression algorithm to be used for the given secret file to occupy lesser embedding space in stego-image.

Hiding Encrypted Text in Image using Least Significant Bit image Steganography Technique

Today, in this new era of the internet, Information Security is becoming the biggest challenge for the world due to the rapid growth of internet users day by day. Unauthorized access to secret data can have serious repercussions like a financial loss. One of the best techniques for secure communication is Steganography-or covert writing. It is an art of hiding the very existence of communicating the message itself. This research presents a state of dual stenographic technique. Dual Steganography combines two security mechanisms, steganography and cryptography both together. This mechanism has the advantage of providing high security and low time complexity. This research proposes a dual steganography technique with an additional level of security. The proposed algorithm embeds secret text messages in cover image in two phases. The two phases include a chaotic map cipher technique for encrypting text and LSB (Least Significant Bit) image steganography technique for hiding encrypted text in an image. The text containing encrypted data is hidden in an RGB image.

Enhancing Image Security by employing Blowfish Algorithm further embedding text and Stitching the RGB components of a Host Image

‘Privacy, privacy everywhere but not a safety method to implement it’: a harsh reality of today’s world. With the precipitation of more data (2 x 1019 bits of data is created in every 86400 seconds) in computer networks, involvement of meta-data in the form of images is essential. To keep data safe and secure in order to inculcate privacy, to eradicate any kind of eavesdropping, and to maintain confidentiality, integrity and availability of it, certain security measures are needed to make in account for. So in order to make it available, we required a technique through which we can securely transfer any kind of data over a network. In practise the information security can be achieved either by using Cryptography or Steganography. The process described in this paper is not a mediocre it is more scrupulous towards the security because it involves image encryption, steganography and image stitching. Initially we are encrypting an image using Blowfish algorithm then we are embedding the secret text into this encrypted image by modifying the least significant bit (LSB) of the image by our data. Moreover, to enhance the privacy and security we are stitching the above resultant image with the red, green and blue (RGB) components of a host image and thereby producing an image more secure than the one which the existing systems can form for data transmission..

Double Encryption, Decryption Process Using Graph Labeling Through Enhanced Vigenere Cipher

In this paper, we promote Double encryption process of our secret text initially through Difference Labeling of Signed Graphs and then through the Vigenere Cipher technique. Thus we propose Double encryption and their corresponding decryption process thereby making prediction of secret text complicated.

تضمين وإخفاء البيانات داخل الصور بالاعتماد على اكتشاف حواف الصورة ومتوسط القيم بين نقاط الحواف

Steganography aims to hide a message or generally a file in some cover medium with hiding the existence of the secret message. Many medium can be used as carriers or covers, but images still the most popular due to its heavy use in the internet and its higher amount of data that can be used to hide more secret data. In this paper, a new approach for concealing secret text message within color image is introduced. It depends mainly on using the three red, green and blue bands of the color cover image as three independent grayscale images, then using different edge detector for each one. After finding these edges, the secret text message bits are divided into three segments, each concealed within different grayscale image by utilizing the strongest edges first. The embedding of the secret message bits is implemented by calculating the average value between each two adjacent edge pixels for concealing one bit.

Analysis of Possibility of the Combination of Affine Cipher Algorithm with One Time Pad Cipher Using the Three-Pass Protocol Method in Text Security

The use of the Three-Pass Protocol method in exchanging secret text messages is one effective method because the two interested parties do not need to use a single key to open the message sent. But there is a possibility that the message cannot be described because the cipher used is not suitable. The purpose of this study is to show whether the Affine Cipher Algorithm with One Time Pad Cipher using the Three-Pass Protocol method can be used to encrypt and decryption the text message.

IMPLEMENTASI KEAMANAN PESAN TEKS MENGGUNAKAN KRIPTOGRAFI ALGORITMA RSA DENGAN METODE WATERFALL BERBASIS JAVA

Current technological advances allow users to exchange data and information from one place to another via the internet. The data and information are sometimes important and need to be kept confidential from irresponsible people who can disseminate or change the original data and information. The risk of such threats can be reduced by converting data and information into confidential messages. The author uses RSA cryptography (Rivest Shamir Adleman) technique in converting the original text of the message into secret text. The author will use the JAVA programming language to convert the original text into a number with blocks, then the text message will be changed with the key that was created first. The results of message encryption are expected to be able to secure data and information, because in RSA cryptography there has been no way to decrypt messages other than by using a secret key. The system design method used is the waterfall method.

Implementation of LSB Steganography on Embedding Messages in Digital Image

The development of information technology today, makes it easier for perpetrators of computer crime, by abusing technology to support its activities, where their activities significantly disrupt someone's privacy. In this paper the insertion of text messages with the least significant bit method. Therefore the administrator needs a system or application that is safe so that it can make it difficult for computer criminals to carry out their activities, and help technology users regarding securing the accessed data bit, which is expected to increase the security of a secret text message. To increase the security of the data to be stored, the data stored is embedded in other media. Least Significant Bit is one method that can be used to hide confidential data on images or media. With this method, the confidentiality of information will be more secure.

Text in Image Hiding using Developed LSB and Random Method

<p><span>Information Hiding is a task that face difficult challenges in current time. <br /> The reason for these challenges is the rapid development of methods of detection of hidden information. So, researchers have been interested in developing methods of concealment, making it difficult for attackers to access hidden information using new methods of concealment. Such as the introducing a complex algorithms, use a random methods and invent more complicated and difficult steps. This paper presents a new method of hiding information within the image. This method creates a new sequence of mysterious and difficult steps by dividing the secret text on all image and random distributing of bits to each row. Then using a special reverse method to hide the bits in that row. The LSB method has also been developed to make it more difficult to hide the pixel. The results presented illustrate the strength and security of the method and provide greater protection for hidden information. Also, the result illustrate the quality of the stego image compared with the original image using PSNR and SSIM quality measures.</span></p>

Implementasi Algoritma Triangle Chain Cipher Dalam Mengamankan Pesan Teks

Chatting is a form of communication directly between two parties using typed text. If text messages on chat are very important and must be kept confidential, it is necessary to secure text messages on chat media that will be sent using cryptographic algorithms to prevent irresponsible parties. To fulfill this, the encryption (decryption and decryption) process of the text message will be sent. Encryption is done when sending by converting the original text message into a secret text message while decryption is done at the time of reception by converting the secret text message to the original text message. So the text message sent when chatting is a secret text message, so that the original text message cannot be known by unauthorized parties

Preventing malicious accounts based on mining with steganography in online

On-line Social Networks (OSNs) are progressively exerting consequences on the way communication takes place among people through sites such as Twitter, Facebook, Google+ and LinkedIn, possessing millions of users. The Online Social Networks’ (OSN) users face security-privacy threats such as Profile cloning, privacy breach and malware attacks. By these attacks, the fake user steals the virtual identity of the original user which they use to interact with other online users. To prevent these attacks, the proposed system uses Steganography which is the process of hiding information within other non-secret text or data. Our proposed system utilizes Steganography by implementing Watermarking technique which hides a secret text inside an image invisibly. Moreover the system avoids the leakage of personal information and prevents the creation of fake accounts. Experimental results show that the proposed technique can effectively detect and prevent creating malicious accounts in comparison with the techniques reported previously.