Görüntü Şifreleme Yöntemlerinin Kapsamlı Bir İncelemesi

Abstract

In today’s technology world, data security has a great importance. Because each data type has its own characteristics, there are various methods of providing this security. The main subject of this study is the security of image data which are more complex structures than text data. Using traditional encryption methods alone to ensure security in image data types can create security weaknesses. For this reason, nowadays, some traditional methods are combined with each other or different methods to encrypt image data. In this study, 131 articles were examined and image encryption methods were classified according to the traditional methods they contain. Studies on both colored and gray level images have been handled together. Finally, the images used in the articles were compared with each other in many ways and the results were presented graphically.

Reversible De-identification of Specific Regions in Biomedical Images and Secured Storage by Randomized Joint Encryption

“…In [6], the authors have reviewed several image encryption and discrete image encoding techniques and the associated future scope in those fields. In [7], image encryption methods based on chaotic maps, neural networks, AES (Advanced Encryption Standard), DCT (direct Cosine Transform), XOR, GA (Genetic Algorithm), and LSB (Least Significant Bit) are reviewed. Additionally, several schemes which use a combination of these methods are discussed.…”

“…That means G is involutory and not well suited as a cryptographic key from the security aspect. Hence, to avoid the involutory deficiency, an additional involutory matrix F, which is entirely different from G, is generated as, (7) Here X and Y are two L×1 integer vectors different from U and V. Similar to matrix G, we have, (8) Let us define two integer matrices E and D as, (9) (10) Since G and F are derived from different vector sets, they are non-commutative. That is, Therefore, the encryption and decryption parent matrices E, and D are numerically dissimilar.…”

“…In ( 14) and ( 15), . The novelty of generating mmi"s by the Householder technique is that mmi"s are obtained without directly calculating the matrix inverses in Zp (with time complexity [39]), but using only scalar modular inverse as in ( 5) and (7), which has a time complexity of only [40].…”

“…The image encryption process can be full or selective. In full image encryption [3][4][5][6][7], the entire image is encrypted, while in Selective Encryption (SE), only certain specific parts of the image are encrypted. On many occasions, explicitly specified regions of the given image are selected and obscured (blurred) due to personal privacy, societal or legal requirements, censorship guidelines, or to hide embedded textual information and so on [8].…”

Trivium Algoritması Kaynaklı Rastgele Permutasyon Üretimiyle Görüntü Şifreleme Uygulaması

“…Örneğin, karmaşık bir veri grubunun şifrelenmesi sonucunda ortaya çıkan çıktılar o veri türüne hakim olmayan bir araştırmacı için orijinal veriden ayırt edilemeyebilir. Ancak bir görüntü şifrelendiğinde bu görüntünün temel olarak başarılı bir şekilde şifrelenip şifrelenmediğini gözlemlemek daha kolaydır [20][21][22][23][24].…”