Novel Stream Ciphering Algorithm for Big Data Images Using Zeckendorf Representation

Abstract

Big data is a term used for very large data sets. Digital equipment produces vast amounts of images every day; the need for image encryption is increasingly pronounced, for example, to safeguard the privacy of the patients’ medical imaging data in cloud disk. There is an obvious contradiction between the security and privacy and the widespread use of big data. Nowadays, the most important engine to provide confidentiality is encryption. However, block ciphering is not suitable for the huge data in a real-time environment because of the strong correlation among pixels and high redundancy; stream ciphering is considered a lightweight solution for ciphering high-definition images (i.e., high data volume). For a stream cipher, since the encryption algorithm is deterministic, the only thing you can do is to make the key “look random.” This article proves that the probability that the digit 1 appears in the midsection of a Zeckendorf representation is constant, which can be utilized to generate the pseudorandom numbers. Then, a novel stream cipher key generator (ZPKG) is proposed to encrypt high-definition images that need transferring. The experimental results show that the proposed stream ciphering method, with the keystream of which satisfies Golomb’s randomness postulates, is faster than RC4 and LSFR with indistinguishable performance on hardware depletion, and the method is highly key sensitive and shows good resistance against noise attacks and statistical attacks.

Image Encryption Using New Non-Linear Stream Cipher Cryptosystem

“…Because the keys are changed, stream ciphers do not consistently output the same ciphertext even for repeating blocks of plaintext [11]. There is some hope for quick image encryption thanks to the exclusive or (XOR or) technique, which is easy to implement on hardware [12]. The linear feedback shift register (LFSR's) based pseudo exhaustive test pattern generator the reseeding and characteristic polynomial reprogramming techniques.…”

SCLang: Graphical Domain-Specific Modeling Language for Stream Cipher

“…A Stream Cipher (SC) is a cipher type that scrambles data in the origin message encrypting one bit/byte at a time to protect it from outsiders, resulting in low complexity, a serial nature, and ease of encryption [1]. Through bit-by-bit processing, SC allows companies that manage messages written in a trickle to send information as soon as it is ready rather than waiting for completion [2]. Most web browser engines, real-time applications, and IoT technology use this cipher type [3,4].…”