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Titlebook: Data Privacy and Security; David Salomon Book 2003 Springer Science+Business Media New York 2003 Alphabet.Galois field.Information.algorit

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31#
發(fā)表于 2025-3-26 21:10:13 | 只看該作者
32#
發(fā)表于 2025-3-27 04:15:36 | 只看該作者
Data Hiding in TextToday, in the digital age, any type of data, such as text, images, and audio, can be digitized, stored indefinitely, and transmitted at high speeds. Notwithstanding these advantages, digital data also have a downside. They are easy to access illegally, tamper with, and copy for purposes of copyright violation.
33#
發(fā)表于 2025-3-27 08:15:47 | 只看該作者
34#
發(fā)表于 2025-3-27 13:00:11 | 只看該作者
35#
發(fā)表于 2025-3-27 16:50:33 | 只看該作者
Presents information in an accessible way.Concentrates on sp.Covering classical cryptography, modern cryptography, and steganography, this volume details how data can be kept secure and private. Each topic is presented and explained by describing various methods, techniques, and algorithms. Moreover
36#
發(fā)表于 2025-3-27 19:05:32 | 只看該作者
Scope and Prevalence of the Problems .!, a number that grows much faster than .. However, the permutation being used has to be chosen such that the receiver will be able to decipher the message. [Barker 92] describes a single-column transposition cipher.
37#
發(fā)表于 2025-3-27 22:34:06 | 只看該作者
Current Status and Future Directionsl amount of data; and once data are hidden in an image or audio file, any lossy compression destroys the embedded data. It seems that such an image should be compressed with lossless compression only, but this chapter shows how secret data can be hidden even in a lossily compressed image.
38#
發(fā)表于 2025-3-28 05:37:04 | 只看該作者
https://doi.org/10.1007/978-3-319-15437-4ain. Next, the chapter introduces (in Section 12.7) the concept of the steganographic file system. The last part of the chapter is a short discussion of the limits of steganography (Section 12.8) and the prospect of public-key steganography (Section 12.9).
39#
發(fā)表于 2025-3-28 07:20:10 | 只看該作者
40#
發(fā)表于 2025-3-28 13:45:52 | 只看該作者
https://doi.org/10.1007/978-3-319-19183-6 go over each plaintext to see whether it makes sense. The computer may be programmed to check each plaintext as it is being generated and reject it if it looks random or if it consists mostly of phrases that are not in the dictionary. Such an automatic check, however, would still leave too many plaintexts for a human to examine.
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