Biometric logical access control enhanced by use of steganography over secured transmission channel

Kapczyński, Adrian; Banasik, Arkadiusz

doi:10.1109/idaacs.2011.6072859

Cited by 6 publications

(3 citation statements)

References 26 publications

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“…Deliberate alteration of the LSB, or indeed the last two binary digits, can be used to embed secret information into that pixel without the change being detectable to the human eye viewing the image [51].…”

Section: Least Significant Bit (Lsb) Embeddingmentioning

confidence: 99%

Integration of Biometrics and Steganography: A Comprehensive Review

et al. 2019

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The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has the potential to augment both access control parameters and the secure transmission of sensitive biometric data. However, despite these efforts, the amalgamation of biometric and steganographic methods has failed to transition from the research lab into real-world applications. In light of this review of both academic and industry literature, we suggest that future research should focus on identifying an acceptable level steganographic embedding for biometric applications, securing exchange of steganography keys, identifying and address legal implications, and developing industry standards.

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Section: Least Significant Bit (Lsb) Embeddingmentioning

confidence: 99%

Integration of Biometrics and Steganography: A Comprehensive Review

et al. 2019

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“…Confidentiality can be provided by the use of steganography as well as cryptography. Steganography allows to hide data in such a way that their presence cannot be detected by humans [6]. Unlike steganography, cryptography transforms the output in such a way that its content is not hidden [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…4. The next pixels are read to come across another RGB component value of 3, and as in step 2, the next every two values marked as a i and b i are used to compute t i values with (6). The resulting string is the name and extension of the text file.…”

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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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Explore the Relationship between Authentication Factor Multiplicity and Composite Vulnerability Exposures

English

2020

2020 International Conference on Computational Science and Computational Intelligence (CSCI)

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Biometric logical access control enhanced by use of steganography over secured transmission channel

Cited by 6 publications

References 26 publications

Integration of Biometrics and Steganography: A Comprehensive Review

Integration of Biometrics and Steganography: A Comprehensive Review

A New Way to Store Simple Text Files

Explore the Relationship between Authentication Factor Multiplicity and Composite Vulnerability Exposures

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