Comparison of LSB methods and pattern

Bharti, Jyoti; Solanki, Surendra; Beliya, Ankit

doi:10.1109/rise.2017.8378162

Cited by 3 publications

(2 citation statements)

References 23 publications

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“…The above surveys on data hiding in digital media are dedicated to either digital audio, images, videos, or 3D media while LSB data hiding is covered as one among numerous other approaches. Several conference papers providing surveys that focus on LSB data hiding have been provided as [41][42][43][44][45][46][47]. To the best of our knowledge, a comprehensive survey on LSB data hiding that considers digital audio, images, videos, and 3D media does not exist.…”

Section: Digitalmentioning

confidence: 99%

LSB Data Hiding in Digital Media: A Survey

Tran¹,

Zepernick²,

Chu³

2022

EAI Endorsed Transactions on Industrial Networks and Intelligen

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Data hiding or information hiding is a prominent class of information security that aims at reliably conveying secret data embedded in a cover object over a covert channel. Digital media such as audio, image, video, and three-dimensional (3D) media can act as cover objects to carry such secret data. Digital media security has acquired tremendous significance in recent years and will be even more important with the development and delivery of new digital media over digital communication networks. In particular, least significant bit (LSB) data hiding is easy to implement and to combine with other hiding techniques, offers high embedding capacity for data, can resist steganalysis and several types of attacks, and is well suited for real-time applications. This article provides a comprehensive survey on LSB data hiding in digital media. The fundamental concepts and terminologies used in data hiding are reviewed along with a general data hiding model. The five attributes of data hiding, i.e., capacity, imperceptibility, robustness, detectability, and security, and the related performance metrics used in this survey to compare the characteristics of the different LSB data hiding methods are discussed. Given the classification of data hiding methods with respect to audio, image, video, and 3D media, a comprehensive survey of LSB data hiding for each of these four digital media is provided. In particular, landmark studies, state-of-the-art approaches, and applications of LSB data hiding are described for each of the four digital media. Their performance is compared with respect to the data hiding attributes which illustrates benefits and drawbacks of the reviewed LSB data hiding methods. The article concludes with summarizing main findings and suggesting directions for future research. This survey will be helpful for researchers and practitioners to keep abreast about the potential of LSB data hiding in digital media and to develop novel applications based on suitable performance trade-offs between data hiding attributes.

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Section: Digitalmentioning

confidence: 99%

LSB Data Hiding in Digital Media: A Survey

Tran¹,

Zepernick²,

Chu³

2022

EAI Endorsed Transactions on Industrial Networks and Intelligen

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show abstract

“…Another approach is to hide text in a format other than text, e.g., in image files. The basic way that uses images to hide a confidential message is called LSB (Least Significant Bit) method [28]. It uses the least significant bits of the pixel RGB color components to enter the bits of a confidential message.…”

Section: Steganography Of the Textmentioning

confidence: 99%

A New Way to Store Simple Text Files

Lawnik¹,

Pełka²,

Kapczyński³

2020

Algorithms

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In the era of ubiquitous digitization, the Internet of Things (IoT), information plays a vital role. All types of data are collected, and some of this data are stored as text files. An important aspect—regardless of the type of data—is related to file storage, especially the amount of disk space that is required. The less space is used on storing data sets, the lower is the cost of this service. Another important aspect of storing data warehouses in the form of files is the cost of data transmission needed for file transfer and its processing. Moreover, the data that are stored should be minimally protected against access and reading by other entities. The aspects mentioned above are particularly important for large data sets like Big Data. Considering the above criteria, i.e., minimizing storage space, data transfer, ensuring minimum security, the main goal of the article was to show the new way of storing text files. This article presents a method that converts data from text files like txt, json, html, py to images (image files) in png format. Taking into account such criteria as the output size of the file, the results obtained for the test files confirm that presented method enables to reduce the need for disk space, as well as to hide data in an image file. The described method can be used for texts saved in extended ASCII and UTF-8 coding.

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A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

2021

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The rapid development of telemedicine services and the requirements for exchanging medical information between physicians, consultants, and health institutions have made the protection of patients’ information an important priority for any future e-health system. The protection of medical information, including the cover (i.e. medical image), has a specificity that slightly differs from the requirements for protecting other information. It is necessary to preserve the cover greatly due to its importance on the reception side as medical staff use this information to provide a diagnosis to save a patient's life. If the cover is tampered with, this leads to failure in achieving the goal of telemedicine. Therefore, this work provides an investigation of information security techniques in medical imaging, focusing on security goals. Encrypting a message before hiding them gives an extra layer of security, and thus, will provide an excellent solution to protect the sensitive information of patients during the sharing of medical information. Medical image steganography is a special case of image steganography, while Digital Imaging and Communications in Medicine (DICOM) is the backbone of all medical imaging divisions, whereby it is most broadly used to store and transmit medical images. The main objective of this study is to provide a general idea of what Least Significant Bit-based (LSB) steganography techniques have achieved in medical images.

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Comparison of LSB methods and pattern

Cited by 3 publications

References 23 publications

LSB Data Hiding in Digital Media: A Survey

LSB Data Hiding in Digital Media: A Survey

A New Way to Store Simple Text Files

A Comprehensive Review on Medical Image Steganography Based on LSB Technique and Potential Challenges

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