Information Hiding

In this paper, a new multi-attribute and high capacity imagebased watermarking technique for relational data is proposed. The embedding process causes low distortion into the data considering the usability restrictions defined over the marked relation. The conducted experiments show the high resilience of the proposed technique against tuple deletion and tuple addition attacks. An interesting trend of the extracted watermark is analyzed when, within certain limits, if the number of embedded marks is small, the watermark signal far from being compromised, discretely improves in the case of tuple addition attacks. According to the results, marking 13% of the attributes and under an attack of 100% of tuples addition, 96% of the watermark is extracted. Also, while previous techniques embed up to 61% of the watermark, under the same conditions, we guarantee to embed 99.96% of the marks.

In this survey paper we consider the class of protocols for information-hiding which use randomization to obfuscate the link between the observables and the information to be protected. We focus on the problem of formalizing the notion of information hiding, and verifying that a given protocol achieves the intended degree of protection. Without the pretense of being omni-comprehensive, we review the main approaches that have been explored in literature: possibilistic, probabilistic, information-theoretic, and statistical.

A real-life requirement motivated this case study of secure covert communication. An independently researched process is described in detail with an emphasis on implementation issues regarding digital images. A scheme using stego keys to create pseudorandom sample sequences is developed. Issues relating to using digital signals for steganography are explored. The terms modified remainder and unmodified remainder are defined. Possible attacks are considered in detail from passive wardens and methods of defeating such attacks are suggested. Software implementing the new ideas is introduced, which has been successfully developed, deployed and used for several years without detection.

Information security has become a cause of concern because of the electronic eavesdropping. Capacity, robustness and invisibility are important parameters in information hiding and are quite difficult to achieve in a single algorithm. This paper proposes a novel steganography technique for digital color image which achieves the purported targets. The professed methodology employs a complete random scheme for pixel selection and embedding of data. Of the three colour channels (Red, Green, Blue) in a given colour image, the least two significant bits of any one of the channels of the color image is used to channelize the embedding capacity of the remaining two channels. We have devised three approaches to achieve various levels of our desired targets. In the first approach, Red is the default guide but it results in localization of MSE in the remaining two channels, which makes it slightly vulnerable. In the second approach, user gets the liberty to select the guiding channel (Red, Green or Blue) to guide the remaining two channels. It will increase the robustness and imperceptibility of the embedded image however the MSE factor will still remain as a drawback. The third approach improves the performance factor as a cyclic methodology is employed and the guiding channel is selected in a cyclic fashion. This ensures the uniform distribution of MSE, which gives better robustness and imperceptibility along with enhanced embedding capacity. The imperceptibility has been enhanced by suitably adapting optimal pixel adjustment process (OPAP) on the stego covers.

In comparison to 1D barcodes, a two-dimensional matrix is regarded as a Quick-Response (QR) code which is a programme that contains a vast quantity of data. QR codes offer quick scanning, omnidirectional reading, and a variety of other benefits, such as error correction. Barcode scanners can readily reveal the content of QR codes. In reality, however, gratified QR apps could contain confidential information, like an electronic-ticket or an electronic-coupon. To safeguard quick response essence from unauthorized users or scanners, it should be password protected. We'll look at QR codes and different sorts of QR barcode steganography mechanisms in this article.

Nowadays, the information processing system plays crucial part in the internet. Online information security has become the top priority in all sectors. Failing to provide online information security may cause loss of critical information or someone may use or distribute such information for malicious purpose. Recently QR barcodes have been used as an effective way to securely share information. This paper presents the survey on information hiding techniques which can share high security information over network using QR barcode.

13th International Conference on Communications Security & Information Assurance (CSIA 2022) focuses on all technical and practical aspects of communications security & information assurance for wired and wireless networks. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding modern security threats and countermeasures, and establishing new collaborations in these areas.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Cyber attacks are currently blooming, as the attackers reap significant profits from them and face a limited risk when compared to committing the ''classical'' crimes. One of the major components that leads to the successful compromising of the targeted system is malicious software. It allows using the victim's machine for various nefarious purposes, e.g., making it a part of the botnet, mining cryptocurrencies, or holding hostage the data stored there. At present, the complexity, proliferation, and variety of malware pose a real challenge for the existing countermeasures and require their constant improvements. That is why, in this paper we first perform a detailed meta-review of the existing surveys related to malware and its detection techniques, showing an arms race between these two sides of a barricade. On this basis, we review the evolution of modern threats in the communication networks, with a particular focus on the techniques employing information hiding. Next, we present the bird's eye view portraying the main development trends in detection methods with a special emphasis on the machine learning techniques. The survey is concluded with the description of potential future research directions in the field of malware detection. INDEX TERMS Cyber security, information hiding, machine learning, malware, threat detection.

The information security has become one of the most significant problems in data communication. So it becomes an inseparable part of data communication. In order to address this problem, many different data hiding techniques have been developed. This paper intends to offer a state of the art overview of the different algorithms used for information hiding. Different information hiding techniques focus on a variety of requirements such as robustness, tamper resistance, imperceptibility, security and Capacity. In this paper, we study about various information hiding techniques and discuss about their importance in order to enhance security of data communication. Information hiding plays a very crucial role today. It provided methods for encrypting the information so that it becomes unreadable for any unintended user.

Security has always been a basic necessity. In the meantime, the most important systems of information security, cryptography and steganography are more noticeable than the others. In recent years Steganography, specially steganography in digital images has been a great interest for many researchers. In this article, a new approach for color image steganography using HSI color model and LSB embedding methods has been presented. The results have shown it has good perceptual transparency and high security. I hope this article helps future researchers and future studies.

Multiple methods of information hiding can be used by criminals to conceal incriminating data. The FAT and NTFS file systems are the most commonly used file systems in operating systems today, and therefore are the most exploited. Most methods of information hiding can be detected using forensic tool kits designed specifically for cyber crime investigators. The purpose of this paper is to explore various methods of information hiding in the FAT and NTFS file systems.

The development of the medical field had led to the transformation of communication from paper information into the digital form. Medical information security had become a great concern as the medical field is moving towards the digital world and hence patient information, disease diagnosis and so on are all being stored in the digital image. Therefore, to improve the medical information security, securing of patient information and the increasing requirements for communication to be transferred between patients, client, medical practitioners, and sponsors is essential to be secured. The core aim of this research is to make available a complete knowledge about the research trends on LSB Steganography Technique, which are applied to securing medical information such as text, image, audio, video and graphics and also discuss the efficiency of the LSB technique. The survey findings show that LSB steganography technique is efficient in securing medical information from intruder.

By offering sophisticated services and centralizing a huge volume of personal data, modern smartphones changed the way we socialize, entertain and work. To this aim, they rely upon complex hardware/software frameworks leading to a number of vulnerabilities, attacks and hazards to profile individuals or gather sensitive information. However, the majority of works evaluating the security degree of smartphones neglects steganography, which can be mainly used to: i) exfiltrate confidential data via camouflage methods, and ii) conceal valuable or personal information into innocent looking carriers. Therefore, this paper surveys the state of the art of steganographic techniques for smartphones, with emphasis on methods developed over the period 2005 to the second quarter of 2014. The different approaches are grouped according to the portion of the device used to hide information, leading to three different covert channels, i.e., local, object and network. Also, it reviews the relevant approaches used to detect and mitigate steganographic attacks or threats. Lastly, it showcases the most popular software applications to embed secret data into carriers, as well as possible future directions.

This paper presents a new model for exception handling, called the replacement model. The replacement model, in contrast to other exception-handling proposals, supports all the handler responses of resumption, termination, retry, and exception propagation, within both statements and expressions, in a modular, simple, and uniform fashion. The model can be embedded in any expression-oriented language and can also be adapted to languages which are not expression oriented with almost all the above advantages. This paper presents the syntactic extensions for embedding the replacement model into Algol 68 and its operational semantics. An axiomatic semantic definition for the model can be found in [271. Categories and Subject Descriptors: D.3.3 [Programming Languages]: Language Constructsabstract