Advanced Steganography for Hiding Data and Image using Audio-Video

Steganography is an art of hiding the secrete message that is being send in the other non secret text. The benefit of steganography is that the expected mystery message does not pull in thoughtfulness regarding itself as an object of investigation. Our point is to conceal mystery data and picture behind the sound and feature document individually with. Sound records are generally compacted for capacity or speedier transmission. Sound records can be sent in short remain solitary portions. 4LSB is used for video steganography and cryptographic algorithm for encryption and decryption. Parity coding is used for Audio Steganography

Enhanced LSB Algorithm For Stegano Communication

Steganography is outlined because the study of invisible communication that typically deals with the ways that of concealing the existence of the communicated message. Usually, information embedding is achieved in communication, image, text, voice or transmission content for copyright, military communication, authentication and plenty of alternative functions. In image Steganography, secret communication is achieved to infix a message into cowl image and generate a stego image. The goal of steganography is to cover the existence of the message from unauthorized party. The fashionable secure image steganography presents a task of transferring the embedded data to the destination while not being detected by the attacker. Several different image file formats will be used, however, digital pictures area unit the foremost widespread owing to their frequency on the web. Image steganography takes cover object as image. Generally, in this technique pixel intensities are used to hide the information. The concept of steganography known as ‘Enhanced LSB Algorithm’ is employed to hide an image in an image, which has negligent distortion as compared to the Least Significant Bit Algorithm

Provable Robust Watermarking for AI-Generated Text

We study the problem of watermarking large language models (LLMs) generated text -- one of the most promising approaches for addressing the safety challenges of LLM usage. In this paper, we propose a rigorous theoretical framework to quantify the effectiveness and robustness of LLM watermarks. We propose a robust and high-quality watermark method, Unigram-Watermark, by extending an existing approach with a simplified fixed grouping strategy. We prove that our watermark method enjoys guaranteed generation quality, correctness in watermark detection, and is robust against text editing and paraphrasing. Experiments on three varying LLMs and two datasets verify that our Unigram-Watermark achieves superior detection accuracy and comparable generation quality in perplexity, thus promoting the responsible use of LLMs. Code is available at https://github.com/XuandongZhao/Unigram-Watermark

Text steganography

Since the exchange of encrypted data in interpersonal electronic messages is both rare and easily detected, steganographic techniques are needed to ensure that private communications do not raise suspicion. Previous work in this area is largely inapplicable to environments such as the Internet, as these schemes require the exchange of large data sets in the form of image or sound files, or the sharing of large databases used for the steganographic encoding and decoding, A class of novel systems is presented here which aims to provide a practical solution for steganography over text-based channels with minimal shared information required. The implementation of one of the four presented systems is described and initial experimental results are reported

Teknik penyembunyian mesej dalam steganografi teks menggunakan pendekatan warna RGB dan penempatan rawak

Steganography is a technique that protects the confidentiality and integrity of data in a protective medium from suspicion of hidden data. The hiding of a message in a text medium can be performed on various text attributes such as type, style, size, and font color to generate a stego text. This study have identified two main problems that lead to the suspicion towards the stego text which is the obvious change of colors of the generated stego and the static representation of the secret message characters using sequential selection of hiding location. Therefore, the main objective of this study is to propose the use of specific value for each combination of Red, Green, Blue (RGB) color to reduce the generated stego text obvious color changes. This study also recommends a dynamic secret message representation method based on a randomly selected character location. A Homophonic Cipher Table was adapted as a method to generate the dynamic secret message characters. Besides, the Second Quotient Remainder Theorem was proposed to convert the secret message characters into a 3D representation by mapping (x,y,z) values to RGB color. The RGB color cube model values of RGB(0,0,0) to RGB(15,15,15) were used to format a selected cover text characters using the Pseudorandom Number Generator. The performance of stego text produced in this study was evaluated using three main measures namely capacity, imperceptibility, and robustness. The results revealed that the proposed method produces a better performance of secret message hiding by 41.31% increase in capacity and the Jaro Winkler's scale imperceptibility score of 1. The performance of stego text is proven to be robust as there is no difference compared to the cover text before and after the compression process. In conclusion, the proposed method has successfully reduced the generated stego text obviousness in the change of colors that lead to suspicion of existence of hidden message. Beside, this method also capable of producing dynamic secret messages using a single cover text

Robust steganographic techniques for secure biometric-based remote authentication

Biometrics are widely accepted as the most reliable proof of identity, entitlement to services, and for crime-related forensics. Using biometrics for remote authentication is becoming an essential requirement for the development of knowledge-based economy in the digital age. Ensuring security and integrity of the biometric data or templates is critical to the success of deployment especially because once the data compromised the whole authentication system is compromised with serious consequences for identity theft, fraud as well as loss of privacy. Protecting biometric data whether stored in databases or transmitted over an open network channel is a serious challenge and cryptography may not be the answer. The main premise of this thesis is that Digital Steganography can provide an alternative security solutions that can be exploited to deal with the biometric transmission problem. The main objective of the thesis is to design, develop and test steganographic tools to support remote biometric authentication. We focus on investigating the selection of biometrics feature representations suitable for hiding in natural cover images and designing steganography systems that are specific for hiding such biometric data rather than being suitable for general purpose. The embedding schemes are expected to have high security characteristics resistant to several types of steganalysis tools and maintain accuracy of recognition post embedding. We shall limit our investigations to embedding face biometrics, but the same challenges and approaches should help in developing similar embedding schemes for other biometrics. To achieve this our investigations and proposals are done in different directions which explain in the rest of this section. Reviewing the literature on the state-of-art in steganography has revealed a rich source of theoretical work and creative approaches that have helped generate a variety of embedding schemes as well as steganalysis tools but almost all focused on embedding random looking secrets. The review greatly helped in identifying the main challenges in the field and the main criteria for success in terms of difficult to reconcile requirements on embedding capacity, efficiency of embedding, robustness against steganalysis attacks, and stego image quality. On the biometrics front the review revealed another rich source of different face biometric feature vectors. The review helped shaping our primary objectives as (1) identifying a binarised face feature factor with high discriminating power that is susceptible to embedding in images, (2) develop a special purpose content-based steganography schemes that can benefit from the well-defined structure of the face biometric data in the embedding procedure while preserving accuracy without leaking information about the source biometric data, and (3) conduct sufficient sets of experiments to test the performance of the developed schemes, highlight the advantages as well as limitations, if any, of the developed system with regards to the above mentioned criteria. We argue that the well-known LBP histogram face biometric scheme satisfies the desired properties and we demonstrate that our new more efficient wavelet based versions called LBPH patterns is much more compact and has improved accuracy. In fact the wavelet version schemes reduce the number of features by 22% to 72% of the original version of LBP scheme guaranteeing better invisibility post embedding. We shall then develop 2 steganographic schemes. The first is the LSB-witness is a general purpose scheme that avoids changing the LSB-plane guaranteeing robustness against targeted steganalysis tools, but establish the viability of using steganography for remote biometric-based recognition. However, it may modify the 2nd LSB of cover pixels as a witness for the presence of the secret bits in the 1st LSB and thereby has some disadvantages with regards to the stego image quality. Our search for a new scheme that exploits the structure of the secret face LBPH patterns for improved stego image quality has led to the development of the first content-based steganography scheme. Embedding is guided by searching for similarities between the LBPH patterns and the structure of the cover image LSB bit-planes partitioned into 8-bit or 4-bit patterns. We shall demonstrate the excellent benefits of using content-based embedding scheme in terms of improved stego image quality, greatly reduced payload, reduced lower bound on optimal embedding efficiency, robustness against all targeted steganalysis tools. Unfortunately our scheme was not robust against the blind or universal SRM steganalysis tool. However we demonstrated robustness against SRM at low payload when our scheme was modified by restricting embedding to edge and textured pixels. The low payload in this case is sufficient to embed a secret full face LBPH patterns. Our work opens new exciting opportunities to build successful real applications of content-based steganography and presents plenty of research challenges